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Trainee Data Engineer Jobs in Connecticut (NOW HIRING)

Whiz Global LLC

Data Warehouse Engineer

Salem, CT · On-site

Solid understanding of Software Development Lifecycle (SDLC) and data engineering best practices Regards, Shivani Yadav Recruitment Trainee Whiz Global LLC Phone : shivani.yadav Address: 1555 Medlock ...

Howmet Aerospace

MACHINE TRAINEE

Winsted, CT

$21/hr

... advanced engineered solutions for the aerospace and transportation industries. Our primary ... Export-Controlled Data: This position entails access to export-controlled items and employment ...

Assa Abloy

CNC Set-Up Operator

Berlin, CT · On-site

$30.08/hr

Setup, maintain, edit programming and operate numerically controlled machines to perform a complex ... Instruct and assist other Flow-line Leads as requested, including Flow-line Trainees. * Use data ...

ASSA ABLOY

CNC Set-Up Operator

Berlin, CT

$30.08/hr

Setup, maintain, edit programming and operate numerically controlled machines to perform a complex ... Instruct and assist other Flow-line Leads as requested, including Flow-line Trainees. * Use data ...

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All JobsData Engineer JobsTrainee Data Engineer JobsTrainee Data Engineer Jobs in Connecticut

Trainee Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do trainee data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for trainee data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a Trainee Data Engineer job?

A Trainee Data Engineer is an entry-level role designed for individuals who are beginning their career in data engineering. They work under the supervision of senior data engineers to learn how to design, build, and maintain data pipelines and infrastructure. Responsibilities typically include data extraction, transformation, loading (ETL), and working with databases, cloud platforms, and big data technologies. This role provides hands-on experience with tools like SQL, Python, Apache Spark, and cloud services such as AWS, Azure, or Google Cloud. It's a great opportunity to develop technical skills and gain practical knowledge in data engineering practices.

What are the key skills and qualifications needed to thrive in the Trainee Data Engineer position, and why are they important?

To thrive as a Trainee Data Engineer, a solid understanding of programming (such as Python or SQL), data structures, and mathematics is important, often supported by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, cloud platforms (e.g., AWS or Azure), and data visualization software is typically required, with certifications in these technologies considered a plus. Strong analytical thinking, a willingness to learn, and effective collaboration and communication skills are valuable soft skills for this role. These abilities enable trainees to learn quickly, contribute to data projects, and adapt to the evolving needs of data engineering teams.

What kind of career growth can I expect as a Trainee Data Engineer?

As a Trainee Data Engineer, you'll gain foundational skills in data management, pipeline development, and cloud services, which are essential for advancing within the data engineering field. Many organizations provide structured training, mentorship, and opportunities to work on real-world projects, allowing you to gradually take on more complex tasks and responsibilities. With experience and demonstrated expertise, you can move into mid-level or senior Data Engineer roles, specialize in areas like big data or machine learning, or even transition into data architecture or analytics leadership positions. This role sets the stage for a rewarding and dynamic career in data-driven industries.

What are the most commonly searched types of Data Engineer jobs in Connecticut? The most popular types of Data Engineer jobs in Connecticut are:
What are popular job titles related to Trainee Data Engineer jobs in Connecticut? For Trainee Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Trainee Data Engineer jobs in Connecticut look for? The top searched job categories for Trainee Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Trainee Data Engineer jobs? Cities in Connecticut with the most Trainee Data Engineer job openings:
Trainee Data Engineer jobs near you
Data Warehouse Engineer

Data Warehouse Engineer

Whiz Global LLC

Salem, CT • On-site

Other

Posted 21 days ago

Job description

Job Title:Data Warehouse Engineer (Informatica)
Location:  Uncasville, CT (Hybrid)
Duration: FTE
Experience- 8-20 years

Job Description

The Data Warehouse Engineer is responsible for designing, developing, and maintaining enterprise data warehouse infrastructure and ETL (Extract, Transform, Load) solutions that support strategic decision-making and operational efficiency. This role requires strong expertise in data integration, database management, and modern data engineering practices. The position collaborates closely with business stakeholders and cross-functional teams to gather requirements, implement scalable data solutions, and ensure the availability of high-quality, reliable data assets for business intelligence and analytics initiatives.

Key ResponsibilitiesETL Development and Data Integration
  • Design, develop, and maintain complex ETL workflows using enterprise tools such as Informatica
  • Extract data from diverse source systems, apply transformation logic, and load into data warehouse environments
  • Implement automated validation processes to ensure data accuracy and integrity
  • Develop Python scripts and APIs for automation, data processing, and integration tasks
Data Warehouse Design and Optimization
  • Design and maintain efficient data warehouse structures (schemas, tables, views, materialized views)
  • Perform performance tuning, including query optimization, clustering keys, and partitioning strategies
  • Apply best practices in data modeling and architecture
  • Utilize advanced platform features such as time travel, zero-copy cloning, and data sharing
  • Ensure scalability, efficiency, and optimal system performance
Business Intelligence Support and Collaboration
  • Provide Level III technical support for BI and decision support tools
  • Collaborate with business stakeholders to translate requirements into technical solutions
  • Troubleshoot complex data issues
  • Develop reports and visualizations using tools such as Power BI and Cognos
  • Ensure data accuracy, usability, and efficiency for business users
Data Pipeline Development and API Integration
  • Design and implement scalable modern data pipelines
  • Develop Python-based solutions for data ingestion and transformation
  • Integrate systems through APIs and web services
  • Leverage platform capabilities such as:
    • Streams and Tasks
    • Continuous data ingestion (e.g., Snowpipe)
    • External functions for integrations
  • Ensure reliability and scalability in a 24/7/365 enterprise environment
Required Skills & Experience
  • Bachelor’s degree in Computer Science, Engineering, Business, or related field
  • Minimum 5 years of experience in data warehousing, ETL development, and database management
  • Strong expertise with Informatica and BI tools such as Snowflake, Power BI, and Cognos
  • Advanced proficiency in SQL and cloud-based data warehouse technologies
  • Hands-on experience with Snowflake architecture, administration, and optimization
  • Experience using Python for data engineering tasks
  • Knowledge of API development and system integration
  • Strong analytical, problem-solving, and communication skills
  • Demonstrated ability to collaborate effectively across teams
  • Ability to obtain and maintain required gaming licenses in multiple jurisdictions
Preferred Experience
  • Advanced SQL and relational database expertise
  • Deep knowledge of Snowflake ecosystem (SnowSQL, Snowpipe, Streams, Tasks, Data Sharing)
  • Strong understanding of data modeling and architecture principles
  • Experience with API development and integration frameworks
  • Knowledge of governance frameworks such as COBIT and ITIL
  • Solid understanding of Software Development Lifecycle (SDLC) and data engineering best practices
Regards,
Shivani Yadav 
Recruitment Trainee
Whiz Global LLC
Phone: 
shivani.yadav

Address: 1555 Medlock Bridge Road

Suite 100, Johns Creek, GA 30097  

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