Data Engineer
Boston, MA · On-site
$124K - $149K/yr
Required : • 6+ years of experience in data engineering, data infrastructure, or software engineering roles. • Deep proficiency in Python, SQL, and modern data stack tools (Airflow, dbt, Spark ...
Data Engineer
Boston, MA · On-site
$124K - $149K/yr
Required : • 6+ years of experience in data engineering, data infrastructure, or software engineering roles. • Deep proficiency in Python, SQL, and modern data stack tools (Airflow, dbt, Spark ...
Distinguished Systems Developer - SQL Engine
Boston, MA · On-site
$49.25 - $67.25/hr
InterSystems is a creative data technology provider redefining the future of analytics and ... engineering • Proven expertise in SQL query engines, optimizers, execution runtimes, or data ...
Distinguished Systems Developer - SQL Engine
Boston, MA · On-site
$49.25 - $67.25/hr
InterSystems is a creative data technology provider redefining the future of analytics and ... engineering • Proven expertise in SQL query engines, optimizers, execution runtimes, or data ...
Data Engineer
Boston, MA · On-site
$124K - $149K/yr
... and SQL. • Hands-on experience with Databricks. • Experience with Apache Airflow for ... DevOps for deployment and production support. • Strong documentation and communication skills ...
Data Engineer
Boston, MA · On-site
$124K - $149K/yr
... and SQL. • Hands-on experience with Databricks. • Experience with Apache Airflow for ... DevOps for deployment and production support. • Strong documentation and communication skills ...
Data Engineer
Boston, MA · On-site
$124K - $149K/yr
Develop high-quality Python and SQL code for data standardization, reconciliation, and validation. * Partner with AI/ML engineers to enable LLM-powered data access. * Contribute to AI-native data ...
Data Engineer
Boston, MA · On-site
$124K - $149K/yr
Develop high-quality Python and SQL code for data standardization, reconciliation, and validation. * Partner with AI/ML engineers to enable LLM-powered data access. * Contribute to AI-native data ...
Data Engineer
$90K - $150K/yr
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...
Data Engineer
$90K - $150K/yr
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...
Senior Oracle PL/SQL Developer
Southborough, MA · On-site
$110K - $180K/yr
Data Transformations, ETL programming from Origin to Source Data Mapping capabilities. * Write and ... Familiarity with XML, T-SQL. * Ability to extract, compare, manage data in a database
Quick apply
Senior Oracle PL/SQL Developer
Southborough, MA · On-site
$110K - $180K/yr
Data Transformations, ETL programming from Origin to Source Data Mapping capabilities. * Write and ... Familiarity with XML, T-SQL. * Ability to extract, compare, manage data in a database
Data Engineer
Wakefield, MA · On-site
$120K - $145K/yr
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...
Data Engineer
Wakefield, MA · On-site
$120K - $145K/yr
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...
Data Engineer
Wakefield, MA · On-site
$90K - $150K/yr
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...
Data Engineer
Wakefield, MA · On-site
$90K - $150K/yr
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...
Lead Data Engineer
Hyannis, MA · On-site
$121K - $145K/yr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Lead Data Engineer
Hyannis, MA · On-site
$121K - $145K/yr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Lead Data Engineer
Hyannis, MA · On-site
$121K - $145K/yr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Lead Data Engineer
Hyannis, MA · On-site
$121K - $145K/yr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Lead Data Engineer
$121K - $145K/yr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Lead Data Engineer
$121K - $145K/yr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Lead Data Engineer
$99K - $139K/hr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Lead Data Engineer
$99K - $139K/hr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Senior Data Engineer
Boston, MA · On-site
$115K - $156K/yr
... SQL, and CI/CD tooling (Azure DevOps or equivalent). • Strong experience in data modeling, including dimensional modeling, SCDs, and designing curated "gold" datasets. • Experience working with ...
Senior Data Engineer
Boston, MA · On-site
$115K - $156K/yr
... SQL, and CI/CD tooling (Azure DevOps or equivalent). • Strong experience in data modeling, including dimensional modeling, SCDs, and designing curated "gold" datasets. • Experience working with ...
Lead Data Engineer
Hyannis, MA · On-site
$121K - $145K/yr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Lead Data Engineer
Hyannis, MA · On-site
$121K - $145K/yr
The Data Engineer III will develop and scale our data ecosystem including our medallion ... Optimize Snowflake warehouse utilization and SQL queries for maximum performance and cost ...
Data Engineer
Boston, MA · On-site
$124K - $149K/yr
Job Title :- Data Engineer Duration :- 8+ months Location :- Onsite based out of Boston, MA (Only ... Should be able to write highly optimized SQL. • Hands-on Experience in writing Airflow DAGs. • ...
Data Engineer
Boston, MA · On-site
$124K - $149K/yr
Job Title :- Data Engineer Duration :- 8+ months Location :- Onsite based out of Boston, MA (Only ... Should be able to write highly optimized SQL. • Hands-on Experience in writing Airflow DAGs. • ...
BI Data Engineer II
Boston, MA · On-site
$124K - $149K/yr
You will work primarily in Databricks using Spark, Delta Lake, Python, and SQL, while also ... Support CI/CD and automated deployment practices, including Azure DevOps and Databricks Asset ...
BI Data Engineer II
Boston, MA · On-site
$124K - $149K/yr
You will work primarily in Databricks using Spark, Delta Lake, Python, and SQL, while also ... Support CI/CD and automated deployment practices, including Azure DevOps and Databricks Asset ...
BI Data Engineer II
Boston, MA · On-site
$124K - $149K/yr
You will work primarily in Databricks using Spark, Delta Lake, Python, and SQL, while also ... Support CI/CD and automated deployment practices, including Azure DevOps and Databricks Asset ...
BI Data Engineer II
Boston, MA · On-site
$124K - $149K/yr
You will work primarily in Databricks using Spark, Delta Lake, Python, and SQL, while also ... Support CI/CD and automated deployment practices, including Azure DevOps and Databricks Asset ...
BI Data Engineer II
Boston, MA · On-site
$124K - $149K/yr
You will work primarily in Databricks using Spark, Delta Lake, Python, and SQL, while also ... Support CI/CD and automated deployment practices, including Azure DevOps and Databricks Asset ...
BI Data Engineer II
Boston, MA · On-site
$124K - $149K/yr
You will work primarily in Databricks using Spark, Delta Lake, Python, and SQL, while also ... Support CI/CD and automated deployment practices, including Azure DevOps and Databricks Asset ...
Senior Data Engineer
Boston, MA · On-site +1
$115K - $156K/yr
Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE ... Idealcandidate will be strong in SQL, python, tableau, Qlik or another cloud DV tooland mid (Boston ...
Quick apply
Senior Data Engineer
Boston, MA · On-site +1
$115K - $156K/yr
Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE ... Idealcandidate will be strong in SQL, python, tableau, Qlik or another cloud DV tooland mid (Boston ...
Data Engineer with AI - Remote
Boston, MA · On-site +1
$124K - $149K/yr
Strong SQL and data modeling (dimensional, medallion, CDC). * ML/AI enablement experience: MLflow ... CI/CD (GitHub/GitLab/Azure DevOps), testing (pytest), and observability (logs/metrics). Nice to ...
Data Engineer with AI - Remote
Boston, MA · On-site +1
$124K - $149K/yr
Strong SQL and data modeling (dimensional, medallion, CDC). * ML/AI enablement experience: MLflow ... CI/CD (GitHub/GitLab/Azure DevOps), testing (pytest), and observability (logs/metrics). Nice to ...
Sql Developer Data Engineer information
What is the difference between Sql Developer Data Engineer vs Data Analyst?
| Aspect | Sql Developer Data Engineer | Data Analyst |
|---|---|---|
| Required Skills | SQL, ETL, data modeling, programming (Python, Java) | Data visualization, statistical analysis, SQL |
| Certifications | SQL certifications, cloud platform certifications | Data analysis or visualization certifications |
| Work Environment | Data pipelines, database management, cloud platforms | Reporting, dashboards, business insights |
| Industry Usage | Tech, finance, healthcare, retail | Marketing, finance, healthcare, retail |
The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.
What is a SQL developer data engineer?
SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.
What are the key skills and qualifications needed to thrive as an SQL developer data engineer, and why are they important?
To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.
How do SQL developer data engineers typically collaborate with data analysts and other stakeholders within a company?
SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.
What are popular job titles related to Sql Developer Data Engineer jobs in Massachusetts? For Sql Developer Data Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Sql Developer Data Engineer jobs in Massachusetts look for? The top searched job categories for Sql Developer Data Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Sql Developer Data Engineer jobs? Cities in Massachusetts with the most Sql Developer Data Engineer job openings:
Job description
Job Summary:
Keystone is a premier economics, technology, and strategy consulting firm that helps companies navigate transformation. The Data Engineer will lead the design and implementation of scalable data workflows, architect infrastructure, and guide technical implementation across projects, supporting cross-disciplinary teams in building robust data systems.
Responsibilities:
• Architect and implement end-to-end data pipelines, transformations, and infrastructure across cloud environments (AWS, GCP, Azure, Snowflake).
• Develop reproducible workflows using Infrastructure as Code and data orchestration tools (Airflow, dbt, Spark, or equivalent).
• Design data models and storage systems optimized for performance, scalability, and defensibility in regulatory and litigation contexts.
• Build and maintain reusable templates, libraries, and automation frameworks that improve engineering efficiency across projects.
• Conduct code reviews, mentor peers, and ensure technical rigor and reproducibility in all project deliverables.
• Partner with client-facing teams, economists, and data scientists to translate analytical goals into scalable, automated data solutions.
• Collaborate with Platform and Forensic Engineering peers to develop integrated solutions across Foundry focus areas.
• Support the design and delivery of data visualization and analytic tooling (e.g., Power BI, Tableau, Streamlit) for client and internal projects.
• Contribute to documentation and internal guides that capture lessons learned, reusable modules, and technical standards.
• Mentor junior engineers and foster adoption of best practices in data architecture, version control, testing, and CI/CD.
• Participate in Scaling Days to share learnings, refine templates, and advance the firm’s reusable engineering assets.
• Identify opportunities to generalize project solutions into reusable Foundry tooling and QuickStarts.
• Contribute to research and evaluation of emerging technologies (e.g., SQLMesh, OpenLineage, LLM data evaluation pipelines).
• Travel 10 – 25% depending on project assignments.
Qualifications:
Required:
• 6+ years of experience in data engineering, data infrastructure, or software engineering roles.
• Deep proficiency in Python, SQL, and modern data stack tools (Airflow, dbt, Spark, Snowflake, BigQuery, or equivalent).
• Strong understanding of cloud architecture and Infrastructure as Code (Terraform, CloudFormation, or similar).
• Experience with version control, CI/CD workflows, and containerization (Docker, Kubernetes).
• Proven ability to architect and optimize large-scale data systems for performance, reliability, and reproducibility.
• Excellent communication skills with the ability to convey technical concepts to non-technical audiences.
• Demonstrated collaboration across disciplines and commitment to mentoring and technical excellence.
• Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
Preferred:
• Prior experience at a consulting firm or matrix-based organization.
• Experience developing internal libraries, frameworks, or automation solutions.
• Familiarity with data governance, lineage tracking, or privacy-preserving techniques.
• Exposure to AI/ML data pipelines, LLM evaluation, or text analytics systems.
Company:
Keystone is an innovative strategy, economics, and technology consulting firm delivering transformative ideas and novel solutions to global brands and law firms on leading-edge challenges in technology, business, consumer goods, and science. Founded in 2003, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Keystone is a premier economics, technology, and strategy consulting firm that helps companies navigate transformation. The Data Engineer will lead the design and implementation of scalable data workflows, architect infrastructure, and guide technical implementation across projects, supporting cross-disciplinary teams in building robust data systems.
Responsibilities:
• Architect and implement end-to-end data pipelines, transformations, and infrastructure across cloud environments (AWS, GCP, Azure, Snowflake).
• Develop reproducible workflows using Infrastructure as Code and data orchestration tools (Airflow, dbt, Spark, or equivalent).
• Design data models and storage systems optimized for performance, scalability, and defensibility in regulatory and litigation contexts.
• Build and maintain reusable templates, libraries, and automation frameworks that improve engineering efficiency across projects.
• Conduct code reviews, mentor peers, and ensure technical rigor and reproducibility in all project deliverables.
• Partner with client-facing teams, economists, and data scientists to translate analytical goals into scalable, automated data solutions.
• Collaborate with Platform and Forensic Engineering peers to develop integrated solutions across Foundry focus areas.
• Support the design and delivery of data visualization and analytic tooling (e.g., Power BI, Tableau, Streamlit) for client and internal projects.
• Contribute to documentation and internal guides that capture lessons learned, reusable modules, and technical standards.
• Mentor junior engineers and foster adoption of best practices in data architecture, version control, testing, and CI/CD.
• Participate in Scaling Days to share learnings, refine templates, and advance the firm’s reusable engineering assets.
• Identify opportunities to generalize project solutions into reusable Foundry tooling and QuickStarts.
• Contribute to research and evaluation of emerging technologies (e.g., SQLMesh, OpenLineage, LLM data evaluation pipelines).
• Travel 10 – 25% depending on project assignments.
Qualifications:
Required:
• 6+ years of experience in data engineering, data infrastructure, or software engineering roles.
• Deep proficiency in Python, SQL, and modern data stack tools (Airflow, dbt, Spark, Snowflake, BigQuery, or equivalent).
• Strong understanding of cloud architecture and Infrastructure as Code (Terraform, CloudFormation, or similar).
• Experience with version control, CI/CD workflows, and containerization (Docker, Kubernetes).
• Proven ability to architect and optimize large-scale data systems for performance, reliability, and reproducibility.
• Excellent communication skills with the ability to convey technical concepts to non-technical audiences.
• Demonstrated collaboration across disciplines and commitment to mentoring and technical excellence.
• Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
Preferred:
• Prior experience at a consulting firm or matrix-based organization.
• Experience developing internal libraries, frameworks, or automation solutions.
• Familiarity with data governance, lineage tracking, or privacy-preserving techniques.
• Exposure to AI/ML data pipelines, LLM evaluation, or text analytics systems.
Company:
Keystone is an innovative strategy, economics, and technology consulting firm delivering transformative ideas and novel solutions to global brands and law firms on leading-edge challenges in technology, business, consumer goods, and science. Founded in 2003, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.