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Data Engineer Jobs in Southington, CT (NOW HIRING)

Data Engineer

Hartford, CT

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue, Hartford, CT 06156- Locals Only Interview Process: One + done - 1 hour, 100% technical interview ...

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Data Engineer Location: Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities Serve as subject matter expert and/or technical lead for large-scale data ...

Data Engineer

Hartford, CT

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue, Hartford, CT 06156- Locals Only Interview Process: One + done - 1 hour, 100% technical interview ...

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organizations modern data ecosystem, including cloud-based data platforms, analytics ...

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required) Employment Type: Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to ...

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

Data Engineer - GE08AE 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 ...

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, stored procedures ...

GCP 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 company that goes well beyond coverages and policies. Working here means having every opportunity to ...

GCP Data Engineer

Hartford, CT

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue, Hartford, CT 06156- Locals Only Interview Process: One + done - 1 hour, 100% technical interview ...

GCP Data Engineer

Hartford, CT

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue, Hartford, CT 06156- Locals Only Interview Process: One + done - 1 hour, 100% technical interview ...

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing, building, and evolving Subway's enterprise data platform on Snowflake or Databricks. This role serves as a ...

GenAI Data Engineer

Hartford, CT · On-site

$80 - $120/hr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

Software/Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

Software/Data Engineer Location: Connecticut (Hybrid) Work Arrangement: Full-time, hybrid. You'll work from our Connecticut office several days each week, collaborating closely with senior engineers ...

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, data integration processes, and data infrastructure. You will collaborate closely with data ...

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

Data Engineer - Senior Manager

Hartford, CT · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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Data Engineer information

See Southington, CT salary details

$45.2K

$131.7K

$180.2K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Southington, CT is $131,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $139,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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

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

Infographic showing various Data Engineer job openings in Southington, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $131,709 per year, or $63.3 per hour.

$115K - $138K/yr

Full-time

Posted 10 days ago


Job description

Role - GCP Data Engineers

Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue, Hartford, CT 06156- Locals Only

Interview Process: One + done - 1 hour, 100% technical interview, will be asked to share screen and code!

NEED ONE MANAGER REFERNCE AND THEIR LINKEDIN PROFILE AND OFFICIAL EMAIL ID.

Duration: 6-12 mo. contract

Top 3 must-have technologies:

  • GCP
  • PythonSQL

Nice-to-Haves:

  • Teradata (platform they are moving off of)
  • Healthcare experience

Will be looking for:

  • Candidates who are well-versed + hands-on with required technologies
  • Candidates who are self-sufficient and can be independent

Position Detail:

We are seeking skilled Data Engineer(s) to support a high-impact enterprise data migration initiative. The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud Platform (GCP). The role involves hands-on development, testing, and optimization of data pipelines and warehouse structures in GCP, ensuring minimal disruption and maximum performance.

Key Responsibilities:

  • Lead and execute migration of data and ETL workflows from Teradata to GCP-based services such as BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer (Airflow).
  • Analyze and map existing Teradata workloads to appropriate GCP equivalents.
  • Rewrite SQL logic, scripts, and procedures in GCP-compliant formats (e.g., standard SQL for BigQuery).
  • Collaborate with data architects and business stakeholders to define migration strategies, validate data quality, and ensure compliance.
  • Develop automated workflows for data movement and transformation using GCP-native tools and/or custom scripts (Python).
  • Optimize data storage, query performance, and costs in the cloud environment.
  • Implement monitoring, logging, and alerting for all migration pipelines and production workloads.

Required Skills:

  • 4 to 6+ years of experience in Data Engineering, with at least 2 years in GCP.
  • Strong hands-on experience in Teradata data warehousing, BTEQ, and complex SQL.
  • Solid knowledge of GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc.
  • Experience with ETL/ELT pipelines using custom scripting tools (Python/Java).
  • Proven ability to refactor and translate legacy logic from Teradata to GCP.
  • Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data environments.
  • Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications:

  • GCP certification (Preferred: Professional Data Engineer).
  • Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on GCP.
  • Experience working in the healthcare domain.
  • Knowledge of data governance, security, and compliance in cloud ecosystems.

Behavioral Skills:

  • Problem solving mindset
  • Attention to detail
  • Accountability and ownership
  • Curious and staying current with evolving GCP services

Preference:

Ability to work in Hartford, CT office at least thrice a week.