Data Engineer
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose. Do not repeat job title as heading. Do not put Job ID etc. Remove boilerplate. Include sections only when posting has real specific content. So we need sections: About the role (maybe from Job Summary?), Responsibilities, Requirements, Benefits (What We Offer), maybe Schedule (hybrid work policy), maybe Pay (salary range). Also maybe About Viking as a section? Could be "About the Company". But instructions: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can include About the role, Responsibilities, Requirements, Benefits, Pay, Schedule, About Viking? Not in list but could be okay but they said use those headings as examples, not exclusive. Probably include About Viking as a section maybe "About the Company". But safer to include only those that have content: About the role (Job Summary), Responsibilities, Requirements, Benefits (What We Offer), Pay (salary range), Schedule (hybrid work policy). Also maybe "Qualifications" could be merged with Requirements. We'll keep Requirements.
We must not emit empty sections. Ensure we include all substantive info.
Let's extract:
Job Summary: "We are seeking a highly motivated and experienced Data Engineer to join our dynamic and growing Data Platforms & Solutions team. As a Data Engineer within our dynamic pricing product team, you will play a crucial role in supplying data for production machine-learning models. Working alongside data scientists, data analysts, and software developers, you will ensure the efficient and accurate handling of data pipelines, facilitate the implementation of data models, and contribute to the overall enhancement of our pricing strategies. This is a hybrid position based in our Woodland Hills, CA office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis."
Responsibilities list bullet points:
- Design, develop, and maintain scalable data pipelines to support dynamic pricing models.
- Collaborate with data scientists to prepare data for model training, validation, and deployment.
- Implement and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and reliability.
- Monitor and troubleshoot data workflows to ensure continuous and reliable data integration.
- Work with the software development team to integrate data engineering solutions into the broader product architecture.
- Ensure data governance and compliance with relevant data privacy and security regulations.
- Engage with stakeholders to understand data requirements and translate these into technical specifications.
- Document data engineering processes and contribute to best practices.
Requirements list:
- Bachelor's (from a four-year college or university) or Master’s degree in Computer Science, Computer Engineering, or a related field.
- 4+ years of related experience in data warehousing, data pipelining and other big data technologies.
- Strong knowledge and/or experience in building a DataLakeHouse is a plus.
- Strong proficiency in SQL and experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
- Experience with cloud platforms (e.g., Azure, AWS, GCP), with a preference for Azure.
- Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
- Strong problem-solving skills and the ability to work independently and collaboratively in a team environment.
- A proactive approach.
- Excellent problem-solving and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work in a fast-paced and dynamic environment.
- Ability to switch gears quickly and cope with change.
- Proven experience in designing and implementing data engineering solutions, with a strong focus on data models and data architecture, ideally in the travel and leisure industry.
- Azure Databricks (ML Flow, model serving)
- Synapse Analytics & Pipelines
- Strong skills in Python/Spark SQL
- Experience with PowerBI
- Experience with real time data pipelines (kafka, event hubs, spark streaming) is a plus
Benefits (What We Offer):
- Highly competitive compensation plan. Salary range $135,000 - $150,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, and other relevant business considerations.
- Employees are eligible for annual discretionary bonus.
- 401(k) plan with company match.
- Employee Share Purchase Plan (ESPP) Viking full-time regular employees working in the United States can purchase Viking shares through payroll deductions.
- Full benefits including medical, dental, vision, life and disability insurance at a highly subsidized rate (some plans are fully paid by Viking).
- Accrue 15 paid vacation days, sick time accrual by state, and 6 paid holidays per year.
- Opportunity to take a free and/or discounted cruise.
- Highly subsidized gym membership.
- Discounts on theatres, theme parks, movie tickets, travel discounts through IATA membership and too many more discounts to name.
- Viking is a certified Great Place to Work company. This certification is a result of our commitment to excellence, integrity and our teams’ outstanding contributions.
About Viking: description.
We need to avoid boilerplate like EEO etc. Not present.
We need to output only HTML fragment.
Structure:
About the role
Job summary text...
Responsibilities
- ...
...
Requirements
- ...
...
Benefits
- ...
...
Pay
Salary range $135,000 - $150,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, and other relevant business considerations.
But note that salary range is also in Benefits; we could keep Pay separate with just salary range, and Benefits without salary. However Benefits includes many items; we could keep salary in Benefits as part of list. But instruction: never create Pay/Schedule/Benefits sections unless posting actually states them. It does state salary range, so we can have Pay section. Benefits also present. So we can split.
Schedule: hybrid work policy: Monday and Thursday plus one additional weekday. So we can have Schedule section.
Thus sections: About the role, Responsibilities, Requirements, Benefits, Pay, Schedule, About Viking? Could add About the Company but not required. Might be okay but we can include as "About the Company". However they didn't list that heading but it's okay. But to be safe, maybe include as "About the Company". However they said use headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. They didn't forbid other headings. I'd include About Viking as a section maybe "About the Company". But we could also omit to keep fewer sections. The instruction: Prefer a few substantive sections over many thin ones. So maybe we can combine About Viking into Benefits or About the role? Not ideal. Could add a section "About the Company". It's substantive. I'd include.
Thus final HTML:
About the role
We are seeking a highly motivated and experienced Data Engineer to join our dynamic and growing Data Platforms & Solutions team. As a Data Engineer within our dynamic pricing product team, you will play a crucial role in supplying data for production machine-learning models. Working alongside data scientists, data analysts, and software developers, you will ensure the efficient and accurate handling of data pipelines, facilitate the implementation of data models, and contribute to the overall enhancement of our pricing strategies. This is a hybrid position based in our Woodland Hills, CA office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis.
Responsibilities
- Design, develop, and maintain scalable data pipelines to support dynamic pricing models.
- Collaborate with data scientists to prepare data for model training, validation, and deployment.
- Implement and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and reliability.
- Monitor and troubleshoot data workflows to ensure continuous and reliable data integration.
- Work with the software development team to integrate data engineering solutions into the broader product architecture.
- Ensure data governance and compliance with relevant data privacy and security regulations.
- Engage with stakeholders to understand data requirements and translate these into technical specifications.
- Document data engineering processes and contribute to best practices.
Requirements
- Bachelor's (from a four-year college or university) or Master’s degree in Computer Science, Computer Engineering, or a related field.
- 4+ years of related experience in data warehousing, data pipelining and other big data technologies.
- Strong knowledge and/or experience in building a DataLakeHouse is a plus.
- Strong proficiency in SQL and experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
- Experience with cloud platforms (e.g., Azure, AWS, GCP), with a preference for Azure.
- Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
- Strong problem-solving skills and the ability to work independently and collaboratively in a team environment.
- A proactive approach.
- Excellent problem-solving and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work in a fast-paced and dynamic environment.
- Ability to switch gears quickly and cope with change.
- Proven experience in designing and implementing data engineering solutions, with a strong focus on data models and data architecture, ideally in the travel and leisure industry.
- Azure Databricks (ML Flow, model serving)
- Synapse Analytics & Pipelines
- Strong skills in Python/Spark SQL
- Experience with PowerBI
- Experience with real time data pipelines (kafka, event hubs, spark streaming) is a plus
Benefits
- Employees are eligible for annual discretionary bonus.
- 401(k) plan with company match.
- Employee Share Purchase Plan (ESPP) Viking full-time regular employees working in the United States can purchase Viking shares through payroll deductions.
- Full benefits including medical, dental, vision, life and disability insurance at a highly subsidized rate (some plans are fully paid by Viking).
- Accrue 15 paid vacation days, sick time accrual by state, and 6 paid holidays per year.
- Opportunity to take a free and/or discounted cruise.
- Highly subsidized gym membership.
- Discounts on theatres, theme parks, movie tickets, travel discounts through IATA membership and too many more discounts to name.
- Viking is a certified Great Place to Work company. This certification is a result of our commitment to excellence, integrity and our teams’ outstanding contributions.
Pay
Salary range $135,000 - $150,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, and other relevant business considerations.
Schedule
Hybrid position based in Woodland Hills, CA office; required to work from office Monday and Thursday plus one additional weekday each week.
About the Company
Viking (NYSE:
for prose. Do not repeat job title as heading. Do not put Job ID etc. Remove boilerplate. Include sections only when posting has real specific content. So we need sections: About the role (maybe from Job Summary?), Responsibilities, Requirements, Benefits (What We Offer), maybe Schedule (hybrid work policy), maybe Pay (salary range). Also maybe About Viking as a section? Could be "About the Company". But instructions: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can include About the role, Responsibilities, Requirements, Benefits, Pay, Schedule, About Viking? Not in list but could be okay but they said use those headings as examples, not exclusive. Probably include About Viking as a section maybe "About the Company". But safer to include only those that have content: About the role (Job Summary), Responsibilities, Requirements, Benefits (What We Offer), Pay (salary range), Schedule (hybrid work policy). Also maybe "Qualifications" could be merged with Requirements. We'll keep Requirements. We must not emit empty sections. Ensure we include all substantive info. Let's extract: Job Summary: "We are seeking a highly motivated and experienced Data Engineer to join our dynamic and growing Data Platforms & Solutions team. As a Data Engineer within our dynamic pricing product team, you will play a crucial role in supplying data for production machine-learning models. Working alongside data scientists, data analysts, and software developers, you will ensure the efficient and accurate handling of data pipelines, facilitate the implementation of data models, and contribute to the overall enhancement of our pricing strategies. This is a hybrid position based in our Woodland Hills, CA office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis." Responsibilities list bullet points: - Design, develop, and maintain scalable data pipelines to support dynamic pricing models. - Collaborate with data scientists to prepare data for model training, validation, and deployment. - Implement and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and reliability. - Monitor and troubleshoot data workflows to ensure continuous and reliable data integration. - Work with the software development team to integrate data engineering solutions into the broader product architecture. - Ensure data governance and compliance with relevant data privacy and security regulations. - Engage with stakeholders to understand data requirements and translate these into technical specifications. - Document data engineering processes and contribute to best practices. Requirements list: - Bachelor's (from a four-year college or university) or Master’s degree in Computer Science, Computer Engineering, or a related field. - 4+ years of related experience in data warehousing, data pipelining and other big data technologies. - Strong knowledge and/or experience in building a DataLakeHouse is a plus. - Strong proficiency in SQL and experience with relational databases such as PostgreSQL, MySQL, or SQL Server. - Experience with cloud platforms (e.g., Azure, AWS, GCP), with a preference for Azure. - Knowledge of big data technologies such as Spark, Hadoop, or Databricks. - Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. - A proactive approach. - Excellent problem-solving and critical thinking skills. - Strong communication and collaboration skills, with the ability to work in a fast-paced and dynamic environment. - Ability to switch gears quickly and cope with change. - Proven experience in designing and implementing data engineering solutions, with a strong focus on data models and data architecture, ideally in the travel and leisure industry. - Azure Databricks (ML Flow, model serving) - Synapse Analytics & Pipelines - Strong skills in Python/Spark SQL - Experience with PowerBI - Experience with real time data pipelines (kafka, event hubs, spark streaming) is a plus Benefits (What We Offer): - Highly competitive compensation plan. Salary range $135,000 - $150,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, and other relevant business considerations. - Employees are eligible for annual discretionary bonus. - 401(k) plan with company match. - Employee Share Purchase Plan (ESPP) Viking full-time regular employees working in the United States can purchase Viking shares through payroll deductions. - Full benefits including medical, dental, vision, life and disability insurance at a highly subsidized rate (some plans are fully paid by Viking). - Accrue 15 paid vacation days, sick time accrual by state, and 6 paid holidays per year. - Opportunity to take a free and/or discounted cruise. - Highly subsidized gym membership. - Discounts on theatres, theme parks, movie tickets, travel discounts through IATA membership and too many more discounts to name. - Viking is a certified Great Place to Work company. This certification is a result of our commitment to excellence, integrity and our teams’ outstanding contributions. About Viking: description. We need to avoid boilerplate like EEO etc. Not present. We need to output only HTML fragment. Structure:
About the role
Job summary text...
Responsibilities
- ... ...
Requirements
- ... ...
Benefits
- ... ...
Pay
Salary range $135,000 - $150,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, and other relevant business considerations.
But note that salary range is also in Benefits; we could keep Pay separate with just salary range, and Benefits without salary. However Benefits includes many items; we could keep salary in Benefits as part of list. But instruction: never create Pay/Schedule/Benefits sections unless posting actually states them. It does state salary range, so we can have Pay section. Benefits also present. So we can split. Schedule: hybrid work policy: Monday and Thursday plus one additional weekday. So we can have Schedule section. Thus sections: About the role, Responsibilities, Requirements, Benefits, Pay, Schedule, About Viking? Could add About the Company but not required. Might be okay but we can include as "About the Company". However they didn't list that heading but it's okay. But to be safe, maybe include as "About the Company". However they said use headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. They didn't forbid other headings. I'd include About Viking as a section maybe "About the Company". But we could also omit to keep fewer sections. The instruction: Prefer a few substantive sections over many thin ones. So maybe we can combine About Viking into Benefits or About the role? Not ideal. Could add a section "About the Company". It's substantive. I'd include. Thus final HTML:About the role
We are seeking a highly motivated and experienced Data Engineer to join our dynamic and growing Data Platforms & Solutions team. As a Data Engineer within our dynamic pricing product team, you will play a crucial role in supplying data for production machine-learning models. Working alongside data scientists, data analysts, and software developers, you will ensure the efficient and accurate handling of data pipelines, facilitate the implementation of data models, and contribute to the overall enhancement of our pricing strategies. This is a hybrid position based in our Woodland Hills, CA office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis.
Responsibilities
- Design, develop, and maintain scalable data pipelines to support dynamic pricing models.
- Collaborate with data scientists to prepare data for model training, validation, and deployment.
- Implement and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and reliability.
- Monitor and troubleshoot data workflows to ensure continuous and reliable data integration.
- Work with the software development team to integrate data engineering solutions into the broader product architecture.
- Ensure data governance and compliance with relevant data privacy and security regulations.
- Engage with stakeholders to understand data requirements and translate these into technical specifications.
- Document data engineering processes and contribute to best practices.
Requirements
- Bachelor's (from a four-year college or university) or Master’s degree in Computer Science, Computer Engineering, or a related field.
- 4+ years of related experience in data warehousing, data pipelining and other big data technologies.
- Strong knowledge and/or experience in building a DataLakeHouse is a plus.
- Strong proficiency in SQL and experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
- Experience with cloud platforms (e.g., Azure, AWS, GCP), with a preference for Azure.
- Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
- Strong problem-solving skills and the ability to work independently and collaboratively in a team environment.
- A proactive approach.
- Excellent problem-solving and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work in a fast-paced and dynamic environment.
- Ability to switch gears quickly and cope with change.
- Proven experience in designing and implementing data engineering solutions, with a strong focus on data models and data architecture, ideally in the travel and leisure industry.
- Azure Databricks (ML Flow, model serving)
- Synapse Analytics & Pipelines
- Strong skills in Python/Spark SQL
- Experience with PowerBI
- Experience with real time data pipelines (kafka, event hubs, spark streaming) is a plus
Benefits
- Employees are eligible for annual discretionary bonus.
- 401(k) plan with company match.
- Employee Share Purchase Plan (ESPP) Viking full-time regular employees working in the United States can purchase Viking shares through payroll deductions.
- Full benefits including medical, dental, vision, life and disability insurance at a highly subsidized rate (some plans are fully paid by Viking).
- Accrue 15 paid vacation days, sick time accrual by state, and 6 paid holidays per year.
- Opportunity to take a free and/or discounted cruise.
- Highly subsidized gym membership.
- Discounts on theatres, theme parks, movie tickets, travel discounts through IATA membership and too many more discounts to name.
- Viking is a certified Great Place to Work company. This certification is a result of our commitment to excellence, integrity and our teams’ outstanding contributions.
Pay
Salary range $135,000 - $150,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, and other relevant business considerations.
Schedule
Hybrid position based in Woodland Hills, CA office; required to work from office Monday and Thursday plus one additional weekday each week.
About the Company
Viking (NYSE: