Data Engineer - East Region
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We should map content to these headings appropriately. The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we should use those exact headings if we have content. We need to include a section only when posting has real, specific content for it. So we need to decide which sections apply.
We have:
- About the role: could be the introductory description (Slalom is a fiercely human business...). That's about the role/company. Could be "About the role". We'll include.
- Responsibilities: corresponds to "What You’ll Do". We'll map to Responsibilities.
- Requirements/Qualifications/Skills: "What You’ll Bring" and "Additional Experience That May Be Helpful" could be Requirements/Qualifications/Skills. We need to decide which headings to use. We could combine into Requirements (or Qualifications) and Skills. But we should not create thin sections. Perhaps we can have one "Requirements" section covering both required and additional experience. Or separate "Qualifications" and "Skills". The instruction: "Prefer a few substantive sections over many thin ones." So maybe we have: About the role, Responsibilities, Requirements (including qualifications and skills), Benefits, Pay, Schedule. That's 6 sections.
We need to include Pay and Benefits sections only if posting states them. Yes, there is Compensation and Benefits section with salary ranges and benefits details. So we need Benefits and Pay sections.
Schedule: there is Hybrid/In office info: "Hybrid/In office: We are hybrid and require that you live within a commutable distance to a Slalom location. If your team leader or client requires you to be onsite, there are expectations that you can meet those requirements." That's schedule info (hybrid). So we can include Schedule.
We must not repeat job title as heading. No Job ID.
We must remove boilerplate: EEO, accommodations, legal, etc. Also remove navigation, cookie, etc. The posting includes EEO and Accommodations at end; we should drop that.
We need to preserve all substantive information; do not invent or summarize away detail. So we need to keep details from each section.
We need to format using for headings, - for any list of duties/requirements/benefits, and
for prose.
We need to decide what constitutes a list. In "What You’ll Do" there are bullet points preceded by "Your work may include:" then a list of items each starting with a verb. Those should be
- . Similarly "What You’ll Bring" includes bullet-like sentences but not explicitly bulleted; they are separate sentences each starting with a skill. Could treat as list? The instruction: use
- for any list of duties/requirements/benefits. The "What You’ll Bring" is a list of qualifications/skills; we can treat as list. Similarly "Additional Experience That May Be Helpful" also list.
Benefits: there is a paragraph describing benefits; could be turned into list items for each benefit (meaningful time off, paid holidays, parental leave, 401(k) with a match, range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, short/long-term disability, yearly $350 reimbursement account, discounted home, auto, and pet insurance). That's a list.
Pay: salary ranges and bonus info.
Schedule: hybrid info.
We need to ensure we don't create sections with filler like "commensurate with experience". Not present.
We need to output only HTML fragment, no markdown fences.
Let's craft.
Structure:
About the role
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
Responsibilities
As a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions.
- Designing and implementing cloud-native data platforms, data lakes, lakehouses, warehouses, and data products.
- Building reliable batch and streaming data pipelines, integrations, and orchestration workflows.
- Translating business and technical requirements into maintainable engineering solutions and actionable development tasks.
- Developing solutions across AWS, Azure, GCP, Databricks, and Snowflake ecosystems based on client needs and your areas of expertise.
- Applying software engineering practices such as version control, automated testing, CI/CD, infrastructure as code, observability, documentation, and secure development.
- Using AI-enabled engineering approaches and tools to improve delivery speed, quality, testing, documentation, and maintainability, with appropriate human review and responsible use.
- Designing, building, and operationalizing governed data platforms that support analytics, AI, machine learning, Generative AI, and agentic workloads.
- Enabling data quality, metadata, lineage, security, privacy, governance, performance, reliability, and cost-effective operations.
- Participating in technical discovery, design sessions, code reviews, demonstrations, and knowledge sharing with clients and colleagues.
- Contributing to reusable patterns, accelerators, and engineering communities within Slalom.
Requirements
We welcome candidates with different combinations of experience. You do not need every skill listed below to be successful in this role. We are interested in the depth of your experience, your learning mindset, and the areas where you want to grow.
- Hands-on experience designing, building, testing, deploying, or supporting production data engineering solutions.
- Experience with at least one major cloud or data platform, such as AWS, Azure, GCP, Databricks, or Snowflake. Experience across multiple platforms is valued but not required.
- Proficiency in programming languages such as SQL, Python, Java and/or Scala.
- Experience with several modern data engineering capabilities, such as data modeling, ETL/ELT, distributed processing, lakehouse architectures, streaming, APIs, orchestration, or data platform modernization.
- Familiarity with relevant technologies, which may include Spark, Kafka, Airflow, dbt, Dagster, Azure Data Factory, BigQuery, Redshift, Synapse, Microsoft Fabric, Delta Lake, Unity Catalog, Dataplex, Dataflow, Pub/Sub, Kinesis, Kubernetes, Terraform, or comparable tools.
- Understanding of how high-quality, secure, governed, and observable data foundations support AI, ML, Generative AI, retrieval-augmented generation, and agentic solutions.
- Experience with AI-enabled or agentic engineering practices, including using AI-assisted development tools and designing data workflows or platforms that can support intelligent agents and automated decision workflows.
- A commitment to responsible engineering, including privacy, security, transparency, testing, monitoring, and appropriate human oversight for AI-enabled solutions.
- Strong problem-solving, communication, and collaboration skills, with an ability to explain technical concepts to different audiences.
- A curious, growth-oriented mindset and willingness to learn new platforms, tools, and delivery approaches.
Additional Experience That May Be Helpful
- Cloud, Databricks, or Snowflake certifications.
- Experience in consulting or in client-facing, cross-functional delivery teams.
- Experience with MLOps, LLMOps, vector databases, model or prompt monitoring, feature stores, semantic layers, or AI platform operations.
- Experience modernizing legacy data environments or migrating workloads to cloud platforms.
- Experience mentoring others or contributing to technical communities and reusable assets.
About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Benefits
- Meaningful time off and paid holidays
- Parental leave
- 401(k) with a match
- A range of choices for highly subsidized health, dental, & vision coverage
- Adoption and fertility assistance
- Short/long-term disability
- Yearly $350 reimbursement account for any well‑being‑related expenses
- Discounted home, auto, and pet insurance
Pay
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this Consultant role, we are hiring at the following targeted base pay salary ranges: Boston, New York: $100,000 - $122,000; All other locations: $100,000 - $115,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.
Schedule
Hybrid/In office: We are hybrid and require that you live within a commutable distance to a Slalom location. If your team leader or client requires you to be onsite, there are expectations that you can meet those requirements.
We need to ensure we didn't duplicate benefits text in Pay section (we included benefits description inadvertently). Actually the Pay section should only contain pay info, not benefits. We accidentally copied benefits description into Pay. Let's correct: Pay section should contain only the compensation details.
Thus rewrite Pay section:
Pay
Slalom
for headings, - for any list of duties/requirements/benefits, and
for prose.
We need to decide what constitutes a list. In "What You’ll Do" there are bullet points preceded by "Your work may include:" then a list of items each starting with a verb. Those should be
- . Similarly "What You’ll Bring" includes bullet-like sentences but not explicitly bulleted; they are separate sentences each starting with a skill. Could treat as list? The instruction: use
- for any list of duties/requirements/benefits. The "What You’ll Bring" is a list of qualifications/skills; we can treat as list. Similarly "Additional Experience That May Be Helpful" also list.
Benefits: there is a paragraph describing benefits; could be turned into list items for each benefit (meaningful time off, paid holidays, parental leave, 401(k) with a match, range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, short/long-term disability, yearly $350 reimbursement account, discounted home, auto, and pet insurance). That's a list.
Pay: salary ranges and bonus info.
Schedule: hybrid info.
We need to ensure we don't create sections with filler like "commensurate with experience". Not present.
We need to output only HTML fragment, no markdown fences.
Let's craft.
Structure:
About the role
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
Responsibilities
As a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions.
- Designing and implementing cloud-native data platforms, data lakes, lakehouses, warehouses, and data products.
- Building reliable batch and streaming data pipelines, integrations, and orchestration workflows.
- Translating business and technical requirements into maintainable engineering solutions and actionable development tasks.
- Developing solutions across AWS, Azure, GCP, Databricks, and Snowflake ecosystems based on client needs and your areas of expertise.
- Applying software engineering practices such as version control, automated testing, CI/CD, infrastructure as code, observability, documentation, and secure development.
- Using AI-enabled engineering approaches and tools to improve delivery speed, quality, testing, documentation, and maintainability, with appropriate human review and responsible use.
- Designing, building, and operationalizing governed data platforms that support analytics, AI, machine learning, Generative AI, and agentic workloads.
- Enabling data quality, metadata, lineage, security, privacy, governance, performance, reliability, and cost-effective operations.
- Participating in technical discovery, design sessions, code reviews, demonstrations, and knowledge sharing with clients and colleagues.
- Contributing to reusable patterns, accelerators, and engineering communities within Slalom.
Requirements
We welcome candidates with different combinations of experience. You do not need every skill listed below to be successful in this role. We are interested in the depth of your experience, your learning mindset, and the areas where you want to grow.
- Hands-on experience designing, building, testing, deploying, or supporting production data engineering solutions.
- Experience with at least one major cloud or data platform, such as AWS, Azure, GCP, Databricks, or Snowflake. Experience across multiple platforms is valued but not required.
- Proficiency in programming languages such as SQL, Python, Java and/or Scala.
- Experience with several modern data engineering capabilities, such as data modeling, ETL/ELT, distributed processing, lakehouse architectures, streaming, APIs, orchestration, or data platform modernization.
- Familiarity with relevant technologies, which may include Spark, Kafka, Airflow, dbt, Dagster, Azure Data Factory, BigQuery, Redshift, Synapse, Microsoft Fabric, Delta Lake, Unity Catalog, Dataplex, Dataflow, Pub/Sub, Kinesis, Kubernetes, Terraform, or comparable tools.
- Understanding of how high-quality, secure, governed, and observable data foundations support AI, ML, Generative AI, retrieval-augmented generation, and agentic solutions.
- Experience with AI-enabled or agentic engineering practices, including using AI-assisted development tools and designing data workflows or platforms that can support intelligent agents and automated decision workflows.
- A commitment to responsible engineering, including privacy, security, transparency, testing, monitoring, and appropriate human oversight for AI-enabled solutions.
- Strong problem-solving, communication, and collaboration skills, with an ability to explain technical concepts to different audiences.
- A curious, growth-oriented mindset and willingness to learn new platforms, tools, and delivery approaches.
Additional Experience That May Be Helpful
- Cloud, Databricks, or Snowflake certifications.
- Experience in consulting or in client-facing, cross-functional delivery teams.
- Experience with MLOps, LLMOps, vector databases, model or prompt monitoring, feature stores, semantic layers, or AI platform operations.
- Experience modernizing legacy data environments or migrating workloads to cloud platforms.
- Experience mentoring others or contributing to technical communities and reusable assets.
About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Benefits
- Meaningful time off and paid holidays
- Parental leave
- 401(k) with a match
- A range of choices for highly subsidized health, dental, & vision coverage
- Adoption and fertility assistance
- Short/long-term disability
- Yearly $350 reimbursement account for any well‑being‑related expenses
- Discounted home, auto, and pet insurance
Pay
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this Consultant role, we are hiring at the following targeted base pay salary ranges: Boston, New York: $100,000 - $122,000; All other locations: $100,000 - $115,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.
Schedule
Hybrid/In office: We are hybrid and require that you live within a commutable distance to a Slalom location. If your team leader or client requires you to be onsite, there are expectations that you can meet those requirements.
We need to ensure we didn't duplicate benefits text in Pay section (we included benefits description inadvertently). Actually the Pay section should only contain pay info, not benefits. We accidentally copied benefits description into Pay. Let's correct: Pay section should contain only the compensation details.
Thus rewrite Pay section:
Pay
Slalom
for prose. We need to decide what constitutes a list. In "What You’ll Do" there are bullet points preceded by "Your work may include:" then a list of items each starting with a verb. Those should be
- . Similarly "What You’ll Bring" includes bullet-like sentences but not explicitly bulleted; they are separate sentences each starting with a skill. Could treat as list? The instruction: use
- for any list of duties/requirements/benefits. The "What You’ll Bring" is a list of qualifications/skills; we can treat as list. Similarly "Additional Experience That May Be Helpful" also list.
Benefits: there is a paragraph describing benefits; could be turned into list items for each benefit (meaningful time off, paid holidays, parental leave, 401(k) with a match, range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, short/long-term disability, yearly $350 reimbursement account, discounted home, auto, and pet insurance). That's a list.
Pay: salary ranges and bonus info.
Schedule: hybrid info.
We need to ensure we don't create sections with filler like "commensurate with experience". Not present.
We need to output only HTML fragment, no markdown fences.
Let's craft.
Structure:
About the role
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
Responsibilities
As a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions.
- Designing and implementing cloud-native data platforms, data lakes, lakehouses, warehouses, and data products.
- Building reliable batch and streaming data pipelines, integrations, and orchestration workflows.
- Translating business and technical requirements into maintainable engineering solutions and actionable development tasks.
- Developing solutions across AWS, Azure, GCP, Databricks, and Snowflake ecosystems based on client needs and your areas of expertise.
- Applying software engineering practices such as version control, automated testing, CI/CD, infrastructure as code, observability, documentation, and secure development.
- Using AI-enabled engineering approaches and tools to improve delivery speed, quality, testing, documentation, and maintainability, with appropriate human review and responsible use.
- Designing, building, and operationalizing governed data platforms that support analytics, AI, machine learning, Generative AI, and agentic workloads.
- Enabling data quality, metadata, lineage, security, privacy, governance, performance, reliability, and cost-effective operations.
- Participating in technical discovery, design sessions, code reviews, demonstrations, and knowledge sharing with clients and colleagues.
- Contributing to reusable patterns, accelerators, and engineering communities within Slalom.
Requirements
We welcome candidates with different combinations of experience. You do not need every skill listed below to be successful in this role. We are interested in the depth of your experience, your learning mindset, and the areas where you want to grow.
- Hands-on experience designing, building, testing, deploying, or supporting production data engineering solutions.
- Experience with at least one major cloud or data platform, such as AWS, Azure, GCP, Databricks, or Snowflake. Experience across multiple platforms is valued but not required.
- Proficiency in programming languages such as SQL, Python, Java and/or Scala.
- Experience with several modern data engineering capabilities, such as data modeling, ETL/ELT, distributed processing, lakehouse architectures, streaming, APIs, orchestration, or data platform modernization.
- Familiarity with relevant technologies, which may include Spark, Kafka, Airflow, dbt, Dagster, Azure Data Factory, BigQuery, Redshift, Synapse, Microsoft Fabric, Delta Lake, Unity Catalog, Dataplex, Dataflow, Pub/Sub, Kinesis, Kubernetes, Terraform, or comparable tools.
- Understanding of how high-quality, secure, governed, and observable data foundations support AI, ML, Generative AI, retrieval-augmented generation, and agentic solutions.
- Experience with AI-enabled or agentic engineering practices, including using AI-assisted development tools and designing data workflows or platforms that can support intelligent agents and automated decision workflows.
- A commitment to responsible engineering, including privacy, security, transparency, testing, monitoring, and appropriate human oversight for AI-enabled solutions.
- Strong problem-solving, communication, and collaboration skills, with an ability to explain technical concepts to different audiences.
- A curious, growth-oriented mindset and willingness to learn new platforms, tools, and delivery approaches.
Additional Experience That May Be Helpful
- Cloud, Databricks, or Snowflake certifications.
- Experience in consulting or in client-facing, cross-functional delivery teams.
- Experience with MLOps, LLMOps, vector databases, model or prompt monitoring, feature stores, semantic layers, or AI platform operations.
- Experience modernizing legacy data environments or migrating workloads to cloud platforms.
- Experience mentoring others or contributing to technical communities and reusable assets.
About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Benefits
- Meaningful time off and paid holidays
- Parental leave
- 401(k) with a match
- A range of choices for highly subsidized health, dental, & vision coverage
- Adoption and fertility assistance
- Short/long-term disability
- Yearly $350 reimbursement account for any well‑being‑related expenses
- Discounted home, auto, and pet insurance
Pay
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this Consultant role, we are hiring at the following targeted base pay salary ranges: Boston, New York: $100,000 - $122,000; All other locations: $100,000 - $115,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.
Schedule
Hybrid/In office: We are hybrid and require that you live within a commutable distance to a Slalom location. If your team leader or client requires you to be onsite, there are expectations that you can meet those requirements.
We need to ensure we didn't duplicate benefits text in Pay section (we included benefits description inadvertently). Actually the Pay section should only contain pay info, not benefits. We accidentally copied benefits description into Pay. Let's correct: Pay section should contain only the compensation details. Thus rewrite Pay section:Pay
Slalom
- for any list of duties/requirements/benefits. The "What You’ll Bring" is a list of qualifications/skills; we can treat as list. Similarly "Additional Experience That May Be Helpful" also list.
Benefits: there is a paragraph describing benefits; could be turned into list items for each benefit (meaningful time off, paid holidays, parental leave, 401(k) with a match, range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, short/long-term disability, yearly $350 reimbursement account, discounted home, auto, and pet insurance). That's a list.
Pay: salary ranges and bonus info.
Schedule: hybrid info.
We need to ensure we don't create sections with filler like "commensurate with experience". Not present.
We need to output only HTML fragment, no markdown fences.
Let's craft.
Structure: