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Sql Developer Data Engineer Jobs in Connecticut (NOW HIRING)

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $137K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... Design and optimize scalable SQL and Python-based data transformations, algorithms, and analytics ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $136K/yr

Data Architecture and Business Intelligence Design and optimize scalable SQL and Python-based data ... Collect, engineer, and prepare large, diverse datasets for model development, ensuring proper ...

PCX Aerosystems

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... Design and optimize scalable SQL and Python-based data transformations, algorithms, and analytics ...

Sarian, Inc.

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD ... Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures, triggers ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

Proficiency in Python and SQL for data engineering, automation, API development, and scalable data processing. * Experience building and supporting enterprise data pipelines, ETL/ELT processes, or ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Experience in R (preferred), Python, and SQL * Experience in ingesting data from a variety of ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

Hexplora

Senior Data Engineer with Pyspark

Rocky Hill, CT · On-site

$109K - $131K/yr

Senior Data Engineer (PySpark, ETL) Location: Rancho Cucamonga, CA(Hybrid) We are looking for an ... Leverage SSIS for ETL development and ensure smooth data movement across different environments.

The Rockridge Group

Senior Data Engineer

New Haven, CT · Hybrid

$106K - $144K/yr

Senior Data Engineer Location: 50 Mitchell Dr Suite 105, New Haven, CT 06511 Salary: $ 130-145K ... Advanced working SQL knowledge and experience working with relational databases, query authoring ...

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Develop and optimize Python- and SQL-based data processing workflows supporting multiple asset ... Document data pipelines and engineering best practices while contributing to the ongoing evolution ...

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Develop and optimize Python- and SQL-based data processing workflows supporting multiple asset ... Document data pipelines and engineering best practices while contributing to the ongoing evolution ...

Deloitte

Senior Data Engineer

Hartford, CT · Hybrid

$106K - $145K/yr

Write and tune PySpark / Spark SQL notebooks for large-scale data transformation * Architect end-to ... Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew handling) * Delta ...

Deloitte

Senior Data Engineer

Stamford, CT · Hybrid

$113K - $153K/yr

Write and tune PySpark / Spark SQL notebooks for large-scale data transformation * Architect end-to ... Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew handling) * Delta ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation. * Proven experience building Medallion architecture with Delta Lake or Iceberg Tables. * Real-time and ...

Prospect Infosys Inc

developer (azure sql)

Hartford, CT · On-site

$55.50 - $68.75/hr

Collaborate with data engineers on SSIS-based ETL processes and data migration activities. Participate in code reviews, ensuring adherence to best practices for performance, maintainability, and ...

Prospect Infosystem Inc

developer (azure sql)

Hartford, CT · On-site

$55.50 - $68.75/hr

Collaborate with data engineers on SSIS-based ETL processes and data migration activities. Participate in code reviews, ensuring adherence to best practices for performance, maintainability, and ...

Pwc

Data Engineer - Manager

Stamford, CT · On-site

... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and scalability - Proficiency in SQL and ...

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Showing results 21-40

All JobsSql Developer Data Engineer JobsSql Developer Data Engineer Jobs in Connecticut

Sql Developer Data Engineer information

What is the difference between Sql Developer Data Engineer vs Data Analyst?

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, 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.
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What job categories do people searching Sql Developer Data Engineer jobs in Connecticut look for? The top searched job categories for Sql Developer Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Sql Developer Data Engineer jobs? Cities in Connecticut with the most Sql Developer Data Engineer job openings:
Sql Developer Data Engineer jobs near you
Infographic showing various Sql Developer Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Data Engineer - Commodities

Millennium Management LLC

Old Greenwich, CT • On-site

$175K - $250K/yr

Full-time

Re-posted yesterday

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Data Engineer - Commodities
The Commodities Technology team builds and operates the data platform that aggregates and curates critical commodities data, including weather, supply/demand, storage, transportation and other fundamental and alternative datasets. This curated "content layer" is central to how our Portfolio Managers and researchers understand markets and construct trades.
We are seeking a Commodities Content Engineer who will focus on building robust ETL workflows and data models on top of our commodities data platform.
In this role, you will use Python and SQL to design, implement and maintain pipelines that ingest, clean, transform, and catalog commodities datasets. You will work closely with quantitative researchers, data analysts, and the broader Commodities Technology team to translate domain requirements into well-structured, reliable data assets that can be easily discovered and reused across strategies.
This is a hands-on engineering role with significant exposure to commodities data and the opportunity to shape how that data is represented and consumed across the firm.
Key Responsibilities:
  • Design and implement end-to-end ETL workflows in Python and SQL to ingest and transform commodities data from multiple vendors and internal sources.
  • Build and maintain standardized data models, schemas, and metadata that make commodities datasets easy to understand and discover within the platform.
  • Use Airflow (or similar tools) to schedule, monitor, and manage data pipelines, ensuring reliability and timely delivery.
  • Implement robust validation, reconciliation, and anomaly-detection checks to ensure data completeness, correctness, and consistency.
  • Leverage AI to automate schema inference across structured and semi-structured data sources, manage schema drift, and accelerate development of scalable ingestion pipelines.
  • Apply AI-driven data quality, observability, and documentation capabilities to detect anomalies, monitor data health, and generate clear lineage and technical documentation across complex data workflows.
  • Leverage Git, GitHub Actions, and automated testing (PyTest) to maintain high-quality code and repeatable deployments.
  • Partner with commodities PMs, researchers, and data strategists to understand use cases and continuously refine datasets, definitions, and documentation.

Required Qualifications:
  • 4 years of experience in data engineering, analytics engineering, or similar roles focused on building and maintaining ETL pipelines.
  • Strong skills in Python and SQL, with experience working with large datasets and complex transformations.
  • Hands-on experience with Airflow or other workflow schedulers.
  • Familiarity with version control (Git), CI/CD pipelines (GitHub Actions or equivalent), and test automation (e.g., PyTest).
  • Strong attention to detail, data quality and documentation; ability to reason for edge cases and data integrity.
  • Ability to work independently, communicate clearly with both technical and non-technical stakeholders, and manage work across multiple concurrent initiatives.

Preferred Qualifications:
  • Knowledge of commodities markets and commodities data (e.g., weather, supply/demand, storage, freight, flows).
  • Experience with data warehousing technologies (e.g., Snowflake, columnar storage formats, or analytic databases).
  • Prior experience in a financial services, trading, or research driven environment.
  • Exposure to data catalog / data governance tools and best practices.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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