Data Engineer - East Region
Slalom · Charlotte, NC · 4 wk ago
Information Technology$100k–$122k/yrFull-time
We need to output HTML fragment with sections: headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections that have real specific content. The posting includes: description of company, role, responsibilities (What You’ll Do), qualifications/requirements (What You’ll Bring), Benefits (Compensation and Benefits), Pay (salary ranges). Also maybe About Us? But "About Us" is similar to company description; but we have "About the role" maybe not present. The posting includes "Who You’ll Work With", "What You’ll Do", "What You’ll Bring", "About Us", "Compensation and Benefits". We need to map to headings: About the role (maybe combine Who You’ll Work With and What You’ll Do? Actually "About the role" could be description of role; we have "Who You’ll Work With" and "What You’ll Do". Could treat "About the role" as a section summarizing role context. But we must not invent headings without content. We have content for responsibilities (What You’ll Do). We have content for requirements/qualifications (What You’ll Bring). We have Benefits and Pay. Also maybe "Skills" could be derived from What You’ll Bring but we can just use Requirements/Qualifications. The instruction: Prefer a few substantive sections over many thin ones. So we could have sections: Responsibilities, Requirements, Benefits, Pay. Possibly also About the role (maybe combine Who You’ll Work With and What You’ll Do?). But we already have Responsibilities covering What You’ll Do. The "Who You’ll Work With" could be part of About the role. But we could create an "About the role" section that includes that paragraph. That seems legitimate: we have content about who you'll work with. So we can include About the role.
We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO, accommodations, etc. Also remove navigation, cookie, legal, duplicated lines. Also remove application instructions (none). Also remove "EEO and Accommodations" etc.
We must preserve all substantive information. So we need to include the paragraphs about Slalom, the team, responsibilities, qualifications, benefits, pay.
We must format using
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections that have real specific content. The posting includes: description of company, role, responsibilities (What You’ll Do), qualifications/requirements (What You’ll Bring), Benefits (Compensation and Benefits), Pay (salary ranges). Also maybe About Us? But "About Us" is similar to company description; but we have "About the role" maybe not present. The posting includes "Who You’ll Work With", "What You’ll Do", "What You’ll Bring", "About Us", "Compensation and Benefits". We need to map to headings: About the role (maybe combine Who You’ll Work With and What You’ll Do? Actually "About the role" could be description of role; we have "Who You’ll Work With" and "What You’ll Do". Could treat "About the role" as a section summarizing role context. But we must not invent headings without content. We have content for responsibilities (What You’ll Do). We have content for requirements/qualifications (What You’ll Bring). We have Benefits and Pay. Also maybe "Skills" could be derived from What You’ll Bring but we can just use Requirements/Qualifications. The instruction: Prefer a few substantive sections over many thin ones. So we could have sections: Responsibilities, Requirements, Benefits, Pay. Possibly also About the role (maybe combine Who You’ll Work With and What You’ll Do?). But we already have Responsibilities covering What You’ll Do. The "Who You’ll Work With" could be part of About the role. But we could create an "About the role" section that includes that paragraph. That seems legitimate: we have content about who you'll work with. So we can include About the role.
We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO, accommodations, etc. Also remove navigation, cookie, legal, duplicated lines. Also remove application instructions (none). Also remove "EEO and Accommodations" etc.
We must preserve all substantive information. So we need to include the paragraphs about Slalom, the team, responsibilities, qualifications, benefits, pay.
We must format using for section headings, - for any list of duties/requirements/benefits, and
for prose.
We need to decide what constitutes a list. The responsibilities are bullet points preceded by "Your work may include:" then a list of items each starting with a verb. Those should be turned into
- . Similarly, qualifications list: many bullet-like sentences separated by periods? The "What You’ll Bring" section includes many sentences each starting with a skill or experience. Could turn each sentence into
- . But we need to decide if we treat as list. The instruction: Use
- for any list of duties/requirements/benefits. So if we have a series of items, we should make a list. The responsibilities are clearly a list. The qualifications also are a list of items (each sentence). Benefits also list: meaningful time off, parental leave, 401(k) with match, etc. Pay is not a list but a range.
Thus we will create sections:
About the role
Slalom is a fiercely human business and technology consulting company ... Who You’ll Work With ...
maybe combine company description and who you'll work with.
But we need to preserve all substantive information. Let's extract:
First paragraph: "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."
Then "Who You’ll Work With" paragraph: "At Slalom, we co-create custom software, data, AI, and cloud solutions with clients who are ready to accelerate their digital transformation. We are passionate about technology and its potential to create better products, experiences, and organizations. Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. You may work with cross-platform data engineering teams or with one of our centers of excellence that specializes in a particular ecosystem. Slalom works across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake, along with the technologies that support each platform. Expertise across every platform is not required. Your current skills, delivery experience, and areas of interest will help determine which team and client opportunities are the best fit, while giving you room to expand your capabilities over time."
We could combine these into About the role.
Then Responsibilities: "What You’ll DoAs a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions. Your work may include:" then list items.
We need to extract each list item:
- 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.
We'll put each as - .
Then Requirements/Qualifications: "What You’ll BringWe 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." Then list items:
- 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.
We could treat "Additional Experience That May Be Helpful" as a subheading but we are not to create extra headings unless needed. Could just include those as list items under Requirements.
We'll create a single list for requirements, including all items.
Then Benefits: "Compensation and BenefitsSlalom 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."
We'll turn each benefit into
- . Also note "Slalom is committed to fair and equitable compensation practices." That's prose.
Then Pay: "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."
We need to include Pay section with that info. Should we include the contact email? It's part of compensation info; we can keep as prose.
We must not include EEO etc.
Now produce HTML fragment:
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. At Slalom, we co-create custom software, data, AI, and cloud solutions with clients who are ready to accelerate their digital transformation. We are passionate about technology and its potential to create better products, experiences, and organizations. Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. You may work with cross-platform data engineering teams or with one of our centers of excellence that specializes in a particular ecosystem. Slalom works across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake, along with the technologies that support each platform. Expertise across every platform is not required. Your current
- for any list of duties/requirements/benefits, and
for prose. We need to decide what constitutes a list. The responsibilities are bullet points preceded by "Your work may include:" then a list of items each starting with a verb. Those should be turned into
- . Similarly, qualifications list: many bullet-like sentences separated by periods? The "What You’ll Bring" section includes many sentences each starting with a skill or experience. Could turn each sentence into
- . But we need to decide if we treat as list. The instruction: Use
- for any list of duties/requirements/benefits. So if we have a series of items, we should make a list. The responsibilities are clearly a list. The qualifications also are a list of items (each sentence). Benefits also list: meaningful time off, parental leave, 401(k) with match, etc. Pay is not a list but a range.
Thus we will create sections:
About the role
Slalom is a fiercely human business and technology consulting company ... Who You’ll Work With ...
maybe combine company description and who you'll work with. But we need to preserve all substantive information. Let's extract: First paragraph: "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." Then "Who You’ll Work With" paragraph: "At Slalom, we co-create custom software, data, AI, and cloud solutions with clients who are ready to accelerate their digital transformation. We are passionate about technology and its potential to create better products, experiences, and organizations. Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. You may work with cross-platform data engineering teams or with one of our centers of excellence that specializes in a particular ecosystem. Slalom works across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake, along with the technologies that support each platform. Expertise across every platform is not required. Your current skills, delivery experience, and areas of interest will help determine which team and client opportunities are the best fit, while giving you room to expand your capabilities over time." We could combine these into About the role. Then Responsibilities: "What You’ll DoAs a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions. Your work may include:" then list items. We need to extract each list item: - 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. We'll put each as - . Then Requirements/Qualifications: "What You’ll BringWe 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." Then list items: - 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. We could treat "Additional Experience That May Be Helpful" as a subheading but we are not to create extra headings unless needed. Could just include those as list items under Requirements. We'll create a single list for requirements, including all items. Then Benefits: "Compensation and BenefitsSlalom 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." We'll turn each benefit into
- . Also note "Slalom is committed to fair and equitable compensation practices." That's prose.
Then Pay: "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."
We need to include Pay section with that info. Should we include the contact email? It's part of compensation info; we can keep as prose.
We must not include EEO etc.
Now produce HTML fragment:
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. At Slalom, we co-create custom software, data, AI, and cloud solutions with clients who are ready to accelerate their digital transformation. We are passionate about technology and its potential to create better products, experiences, and organizations. Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. You may work with cross-platform data engineering teams or with one of our centers of excellence that specializes in a particular ecosystem. Slalom works across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake, along with the technologies that support each platform. Expertise across every platform is not required. Your current
- for any list of duties/requirements/benefits. So if we have a series of items, we should make a list. The responsibilities are clearly a list. The qualifications also are a list of items (each sentence). Benefits also list: meaningful time off, parental leave, 401(k) with match, etc. Pay is not a list but a range.
Thus we will create sections: