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Junior Data Engineer Jobs in Wethersfield, CT (NOW HIRING)

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

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

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an ... Mentor junior engineers and contribute to communities of practice, promoting best practices ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is ...

Senior AI Machine Learning Engineer

Hartford, CT · On-site

$123K - $162K/yr

Guide and mentor junior engineers by breaking down technical work, reviewing code, explaining model/data pipeline patterns, and ensuring consistent engineering practices. Partner with Data Scientists ...

As a Junior Automotive Engineer at our 327-acre Auto Test Center, you will report to the Director ... You'll work closely with our Auto Testers, Data Intelligence, Content, Video, and Communications ...

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Junior Data Engineer information

See Wethersfield, CT salary details

$33.5K

$71.8K

$109.5K

How much do junior data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for junior data engineer in Wethersfield, CT is $71,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

What are the most commonly searched types of Data Engineer jobs in Wethersfield, CT?

The most popular types of Data Engineer jobs in Wethersfield, CT are:

What are popular job titles related to Junior Data Engineer jobs in Wethersfield, CT?

For Junior Data Engineer jobs in Wethersfield, CT, the most frequently searched job titles are:

What cities near Wethersfield, CT are hiring for Junior Data Engineer jobs?

Cities near Wethersfield, CT with the most Junior Data Engineer job openings:

DATA Engineer

Teamware Solutions

East Hartford, CT • On-site

$113K - $136K/yr

Other

Re-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 AirflowDatabricks 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