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Senior Sql Data Engineer Jobs in Springfield, MA

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 ...

Chubb

Sr. Data Engineer

Simsbury, CT

$116K - $139K/yr

We are seeking a skilled and motivated Sr Data Engineer to join our team. The ideal candidate will ... Familiarity with SQL and database management systems (e.g., SQL Server, Snowflake). * Understanding ...

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 ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Consigli Construction

Senior Data Engineer

Hartford, CT · On-site

$100K - $120K/yr

The Senior Data Engineer supports the design, build, and optimization of our analytical data ... Help refactor business logic from dashboards or ad‑hoc SQL into governed transformations and ...

Interon IT Solutions

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required ... BigQuery * Strong SQL skills, including complex queries and optimization. * Experience with ...

The Hartford

Sr Staff Data Engineer

Hartford, CT · Hybrid

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an ... Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and ...

Sarian, Inc.

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer Location: Hartford, CT Onsite position Fulltime position JD ... Required Skills & Experience: • Strong expertise in Oracle SQL & PL/SQL (writing complex queries ...

CVS Health

Senior Data Engineer

Hartford, CT · On-site

$106K - $145K/yr

As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining ... Required Qualifications * 3+ years of experience with SQL, NoSQL * 3+ years of experience with ...

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Role: Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates Duration: 6-12 months What You Will Do: The Senior Data ...

The Whiteside Agency

Senior Data Engineer

Hartford, CT

$139K - $230K/yr

As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape ... SQL, and modern data engineering practices. * Strong delivery skills including the ability to ...

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All JobsSql Data Engineer JobsSenior Sql Data Engineer JobsSenior Sql Data Engineer Jobs in Springfield, MA

Senior Sql Data Engineer information

See Springfield, MA salary details

$80.7K

$125.9K

$174.4K

How much do senior sql data engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for senior sql data engineer in Springfield, MA is $125,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $143,500.00 per year, depending on experience, location, and employer.

How does a Senior SQL Data Engineer typically collaborate with data analysts and other stakeholders in an organization?

Senior SQL Data Engineers work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data solutions. They often participate in requirements-gathering sessions, translate business needs into technical specifications, and design or optimize SQL queries, data models, and ETL processes. Effective communication is key, as they must explain complex technical concepts to non-technical team members and ensure data solutions align with business objectives. This collaboration helps ensure the integrity, availability, and usability of data across the organization.

What are Senior SQL Data Engineers?

Senior SQL Data Engineers are experienced professionals who design, develop, and maintain databases using SQL and related technologies. They are responsible for ensuring data is stored efficiently, securely, and is easily accessible for analysis and reporting. In addition to writing advanced SQL queries, they often optimize database performance, manage data integration processes, and collaborate with other IT and business teams to support data-driven decision making. Their role may also involve mentoring junior engineers and implementing best practices for data management.

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

AspectSenior Sql Data EngineerData Analyst
Required SkillsSQL, ETL, data warehousing, scripting, database managementSQL, data visualization, statistical analysis, reporting
Work EnvironmentData engineering teams, backend systems, large-scale data infrastructureBusiness units, reporting teams, data visualization tools
CertificationsSQL certifications, cloud platform credentials (AWS, Azure)Data analysis certifications (CAP, Microsoft Certified Data Analyst)

Senior Sql Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data and generate reports. Both roles require SQL expertise but differ in scope and tools used, with engineers handling data architecture and analysts focusing on insights and visualization.

What are the key skills and qualifications needed to thrive as a Senior SQL Data Engineer, and why are they important?

To thrive as a Senior SQL Data Engineer, you need advanced SQL programming skills, strong database design expertise, and experience with data modeling, often supported by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, Oracle, or PostgreSQL, ETL tools, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data issues. These skills ensure the efficient management, integrity, and accessibility of data systems that drive business insights and operations.
What are popular job titles related to Senior Sql Data Engineer jobs in Springfield, MA? For Senior Sql Data Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Senior Sql Data Engineer jobs in Springfield, MA look for? The top searched job categories for Senior Sql Data Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Senior Sql Data Engineer jobs? Cities near Springfield, MA with the most Senior Sql Data Engineer job openings:
Senior Sql Data Engineer jobs near you
Infographic showing various Senior Sql Data Engineer job openings in Springfield, MA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,886 per year, or $60.5 per hour.
Senior Staff AI Data Engineer - Hybrid

Senior Staff AI Data Engineer - Hybrid

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$106K - $145K/yr

Full-time

Re-posted 5 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 111 frontline employees who took The Breakroom Quiz

54th of 281 rated insurance

Job description

Sr Staff Data Engineer - GE07DE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact!
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).
Primary Job Responsibilities
  • Lead the implementation of AI data pipelines integrating structured, semi-structured, and unstructured data to support AI and agentic solutions, including preprocessing techniques such as extraction, chunking, embedding, and grounding (e.g., RAG, retrieval frameworks)
  • Develop AI-driven data systems that enhance data capabilities while ensuring adherence to industry best practices
  • Implement and optimize Retrieval-Augmented Generation (RAG) architectures and integrate them with enterprise data platforms
  • Design, build, and optimize scalable batch and streaming data pipelines with a focus on performance, resiliency, and operational efficiency
  • Develop and maintain real-time data streaming pipelines using technologies such as Snowpipe
  • Develop data domains and data products to support reporting, analytics, AI/ML, and data science use cases
  • Ensure the reliability, availability, and scalability of data pipelines through monitoring, alerting, and incident management
  • Implement reliability engineering best practices, including fault tolerance, redundancy, and disaster recovery
  • Drive engineering discipline across data platforms, including observability, data quality, lineage, and governance
  • Collaborate with DevOps and infrastructure teams to enable seamless deployment and operation of data systems
  • Partner with cross-functional teams to integrate data and AI solutions into business processes and enterprise systems
  • Provide architectural leadership in partnership with Data Architects, including defining technical standards and influencing enterprise-wide practices
  • Develop and integrate graph database solutions to support complex data relationships within AI systems
  • Apply GenAI approaches to insurance-specific data use cases and challenges
  • Lead the development of AI-ready data foundations that support scalable, production-grade solutions
  • Ensure data platforms remain resilient, governed, and cost-efficient, aligned with enterprise cloud and data strategies
  • Mentor junior engineers and contribute to communities of practice, promoting best practices, reusable patterns, and engineering standards
  • Stay current with advancements in GenAI and apply relevant technologies and methodologies to platform evolution

Skills
  • Strong technical expertise in AI-driven data solutions leveraging modern cloud platforms
  • Deep expertise in core data engineering, including advanced SQL, data modeling, and query performance tuning
  • Strong experience in ETL/ELT architecture, orchestration frameworks, and pipeline optimization
  • Experience working across teams with strong communication and stakeholder management skills
  • Proven ability to mentor and develop AI and data engineering talent
  • Knowledge of emerging AI and data engineering design patterns
  • Strong planning, organization, and execution capabilities
  • Ability to lead in a lean, agile, and fast-paced environment, leveraging Scaled Agile practices
  • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions
  • Demonstrated leadership capability to own architecture decisions and drive cross-team alignment
  • Effective collaboration, decision-making, and relationship-building skills
  • Strong interpersonal skills with the ability to provide thought leadership in a dynamic environment

Qualifications
  • Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
  • Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
  • 8+ years of data engineering experience with deep expertise in SQL, data modeling, and large-scale data processing systems
  • Proven experience designing and optimizing ETL/ELT pipelines and orchestration frameworks in enterprise environments
  • Experience supporting Generative AI data engineering use cases
  • Hands-on experience implementing production-ready, enterprise-grade GenAI data solutions
  • Experience implementing RAG pipelines, including retrieval, chunking, embedding, and grounding techniques
  • Experience operationalizing GenAI pipelines in production environments
  • Hands-on experience with cloud ecosystems (AWS, GCP, Azure, Snowflake) and Python-based data engineering stacks
  • Proven ability to deliver resilient, governed, and cost-efficient data platforms at scale
  • Experience with vector databases and graph databases, including design and optimization
  • Experience working with unstructured data for GenAI applications
  • Experience implementing data governance practices, including data quality, lineage, and data cataloging at scale
  • Proficiency in building AI data pipelines that integrate structured and unstructured data with preprocessing techniques
  • Strong programming skills in Python
  • Strong communication skills and ability to explain technical concepts to a broad set of stakeholders

Preferred Qualifications
  • Experience designing multi-cloud or hybrid AI data solutions
  • AI-related certifications
  • Experience in the P&C insurance industry
  • Contributions to open-source AI projects or research in Generative AI

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$135,040 - $202,560
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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