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Data Warehousing Engineer Jobs in Connecticut (NOW HIRING)

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue ... The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue ... The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills ... data warehousing concepts and ETL frameworks. • Experience working with cloud-based data ...

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue ... The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud ...

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role - GCP Data Engineers Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue ... The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud ...

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD ... Solid understanding of data warehousing concepts and ETL frameworks. * Experience working with ...

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Strong knowledge of Data Warehousing (modeling, mapping, batch, and real-time pipelines ... Engineer Hands-on experience in Snowflake Primary skill set is Snowflake Hybrid position - 3 days ...

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required ... Familiarity with Teradata data warehouses and SQL. * Experience supporting enterprise-scale data ...

Snowflake Developer

Hartford, CT · On-site

$110K - $130K/yr

Support data warehousing and ETL/ELT initiatives by enabling reliable data integration ... SnowPro Advanced Certification (Administrator, Architect, or Data Engineer). * Experience within ...

IT Senior Data Architect

Berlin, CT · On-site

$66.75 - $89.25/hr

Significant experience in Data Architecture, Data Engineering, or Enterprise Architecture. Preferred Skills: * Experience with Databricks, Azure Data Factory (ADF), data warehousing, and data lake ...

Recommend improvements to existing data warehouse and analytics solutions and support ... Actively completing a bachelor's degree in data Analytics, Data Science, Computer Engineering ...

New

Recommend improvements to existing data warehouse and analytics solutions and support ... Actively completing a bachelor's degree in data Analytics, Data Science, Computer Engineering ...

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Showing results 1-20

Data Warehousing Engineer information

See Connecticut salary details

$82.3K

$120.3K

$152.7K

How much do data warehousing engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data warehousing engineer in Connecticut is $120,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a data warehousing engineer?

A Data Warehousing Engineer is responsible for designing, developing, and maintaining data warehouses that store and manage large volumes of structured data. They work with ETL (Extract, Transform, Load) processes to extract data from various sources, transform it into a usable format, and load it into the data warehouse. They also optimize database performance, ensure data integrity, and support business intelligence and analytics teams by providing efficient access to data. The role requires expertise in database management, SQL, ETL tools, and cloud data warehouse solutions.

What are the typical daily responsibilities of a data warehousing engineer?

As a Data Warehousing Engineer, your day often involves designing, building, and maintaining data warehouses, as well as developing ETL (extract, transform, load) processes to consolidate data from multiple sources. You'll routinely write and optimize SQL queries, monitor data quality, and troubleshoot issues to ensure smooth data flows. Collaboration with data scientists, analysts, and business stakeholders is common, as you'll help translate business needs into technical data solutions. Additionally, you may work on performance tuning, implementing data security measures, and helping to plan for future data infrastructure upgrades.

What are the key skills and qualifications needed to thrive in a data warehousing engineer position?

To thrive as a Data Warehousing Engineer, you need strong expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools like Informatica, Snowflake, or AWS Redshift, and certifications such as Google Cloud Data Engineer or Microsoft Azure Data Engineer, are frequently sought by employers. Analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These qualities are important for designing efficient data systems, troubleshooting complex data issues, and collaborating with cross-functional teams to ensure accurate and accessible data for decision-making.

Infographic showing various Data Warehousing Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,337 per year, or $57.9 per hour.

$115K - $138K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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.