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Data Lineage Jobs in Connecticut (NOW HIRING)

Teamware Solutions

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

Implement and enforce Unity Catalog governance standards -- data lineage, access controls, tagging, and cataloging * Optimize Spark jobs for performance, cost efficiency, and reliability at scale

New

The Atlantic Group

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Create and maintain documentation for data process, data lineage and data dictionaries; * Build dashboards using visualization tools such a Power BI; and * Stay up to date on trends, best practices ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Work with SMEs to describe and understand data lineage and suitability for a use case. * Create data assets and build data pipelines that align to modern software development principles for further ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Create and maintain documentation of data pipelines including data flow and data lineage documentation. * Responsible for tier 3 support and assisting our Operations Team as required to provide a ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Create and maintain documentation of data pipelines including data flow and data lineage documentation. * Responsible for tier 3 support and assisting our Operations Team as required to provide a ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Create and maintain documentation of data pipelines including data flow and data lineage documentation. * Responsible for tier 3 support and assisting our Operations Team as required to provide a ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Create and maintain documentation of data pipelines including data flow and data lineage documentation. * Responsible for tier 3 support and assisting our Operations Team as required to provide a ...

The Subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Create and maintain documentation of data pipelines including data flow and data lineage documentation. * Responsible for tier 3 support and assisting our Operations Team as required to provide a ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Create and maintain documentation of data pipelines including data flow and data lineage documentation. * Responsible for tier 3 support and assisting our Operations Team as required to provide a ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Create and maintain documentation of data pipelines including data flow and data lineage documentation. * Responsible for tier 3 support and assisting our Operations Team as required to provide a ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Create and maintain documentation of data pipelines including data flow and data lineage documentation. * Responsible for tier 3 support and assisting our Operations Team as required to provide a ...

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How much do data lineage jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for data lineage in Connecticut is $58.52, according to ZipRecruiter salary data. Most workers in this role earn between $44.15 and $90.23 per hour, depending on experience, location, and employer.

What is a data lineage?

Data lineage refers to the tracking and visualization of data as it moves through various systems, processes, and transformations within an organization. Data professionals use tools like data lineage diagrams to ensure data quality, compliance, and understanding of data flow, often working with metadata management and data governance frameworks.

What are some common challenges faced by professionals working in Data Lineage roles, and how can they be addressed?

Professionals in Data Lineage roles often encounter challenges such as incomplete or inconsistent metadata, rapidly changing data environments, and difficulties in tracking data movement across complex systems. Addressing these issues typically involves collaborating closely with data engineers, architects, and business analysts to ensure accurate documentation and communication. Implementing automated data lineage tools and fostering a culture of data stewardship within the organization can also greatly improve visibility and reliability of data flows.

Can I be a data analyst with no experience?

Data analysts typically need some foundational skills in data manipulation, such as proficiency in Excel, SQL, or data visualization tools. While prior experience can be helpful, entry-level positions often accept candidates with relevant coursework, certifications, or a strong interest in data analysis, and on-the-job training is common.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, SQL, and visualization tools that can be learned at any age. Many professionals successfully transition into data analysis later in their careers by gaining relevant certifications and experience. Employers focus on skills and experience rather than age, making it possible to start a data analyst career at 40 or older.

What are the key skills and qualifications needed to thrive as a Data Lineage Analyst, and why are they important?

To thrive as a Data Lineage Analyst, you need strong analytical abilities, knowledge of data management principles, and experience with data mapping, usually backed by a degree in computer science, information systems, or a related field. Familiarity with data lineage tools like Collibra, Informatica, or IBM InfoSphere, and understanding of metadata management and SQL is crucial. Exceptional attention to detail, problem-solving skills, and effective communication help in collaborating with technical and business stakeholders. These skills ensure accurate tracking of data flow, compliance with regulations, and support for data-driven decision-making.

What is data lineage?

Data lineage refers to the process of tracking and visualizing the flow of data as it moves through an organization’s systems, from its origin to its final destination. It helps organizations understand where data comes from, how it is transformed, and where it is stored or consumed. Data lineage is crucial for ensuring data quality, compliance, and troubleshooting data-related issues. It also supports effective data governance by providing transparency and traceability for data assets.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Architect, and Data Engineering Manager tend to be among the highest paying, often earning six-figure salaries or more. These positions require advanced skills in data management, architecture, and leadership, and often involve overseeing data strategy and infrastructure at an organizational level.
What are popular job titles related to Data Lineage jobs in Connecticut? For Data Lineage jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Lineage jobs in Connecticut look for? The top searched job categories for Data Lineage jobs in Connecticut are:
Data Lineage jobs near you
Infographic showing various Data Lineage job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,732 per year, or $58.5 per hour.
DATA Engineer

DATA Engineer

Teamware Solutions

East Hartford, CT • On-site

$113K - $136K/yr

Other

Posted yesterday

Job description

 
 

Must be Local only within 40 Miles area

Relocation will not work

 
 
Look insurance domain highly preferred
 
 

Job Description:

11 Years exp 

We are looking for a Senior Data Engineer to design, build, and optimize scalable data pipelines and warehouse solutions that power business-critical analytics. You will work closely with data architects, analysts, and business stakeholders to deliver robust data products on modern lakehouse platforms.
Key Responsibilities
  • Design and develop end-to-end data pipelines using Apache Spark and Databricks, following medallion (Bronze/Silver/Gold) architecture patterns
  • Build and maintain large-scale SQL-based data warehouses, including dimensional models, star/Client schemas, and performance-tuned queries
  • Lead data ingestion from diverse sources (RDBMS, APIs, flat files, streaming) into centralized platforms with strong data quality controls
  • Implement and enforce Unity Catalog governance standards — data lineage, access controls, tagging, and cataloging
  • Optimize Spark jobs for performance, cost efficiency, and reliability at scale
  • Collaborate with architects to define standards for data modeling, pipeline design, and naming conventions
  • Mentor junior engineers and conduct code reviews to uphold engineering best practices
  • Partner with business analysts and data consumers to translate requirements into scalable data solutions
  • Proactively identify and resolve data quality, latency, and pipeline reliability issues
Required Skills & Qualifications
  • 10+ years of hands-on experience in data engineering
  • Strong expertise in Apache Spark (PySpark / Scala) and Databricks platform
  • Deep proficiency in SQL — query optimization, window functions, complex transformations, stored procedures
  • Solid experience with data warehousing concepts — normalization, SCD types, fact/dimension modeling
  • Experience with Client Lake or similar open table formats (Apache Iceberg, Hudi)
  • Hands-on with orchestration tools such as Apache Airflow, Databricks Workflows, or Azure Data Factory
  • Familiarity with version control (Git) and CI/CD practices for data pipelines
  • Strong understanding of data governance — lineage, cataloging, data quality frameworks
  • Excellent problem-solving skills and ability to work independently in a client-facing environment
Good to Have
  • Experience with dbt (data build tool) for transformation layer development
  • Exposure to cloud platforms — AWS
  • Knowledge of streaming technologies (Kafka, Event Hubs)
  • Familiarity with Great Expectations or other data quality frameworks

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