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Extract Transfer Load Data Jobs in Trumbull, CT (NOW HIRING)

PROLIM Global Corporation

Maestro Data Architect

Stamford, CT · On-site

$68 - $87.50/hr

Role Name - Maestro Data Architect REQUIREMENT_CITY - Stamford, CT- Need to be local or willing to move to Stamford, CT Contract ROLE_DESCRIPTION - Design, develop, and maintain ETL/ELT pipelines ...

TecTammina

OFSAA data modeler

Norwalk, CT

$55 - $71.25/hr

Good exposure to Data level testing, Data validation, Quality & SIT Working knowledge of BI applications Desirable Skill Set : ETL/Informatica Qualifications Bachelor or higher Additional Information ...

ClifyX

IDMC Data Lineage Developer

Stamford, CT · On-site

$56.75 - $74.75/hr

... databases, ETL, cloud, BI tools). • Collaborate with Data Governance, Data Engineering, and Business Teams to identify and onboard key metadata sources into Informatica IDMC. • Ensure data ...

Nam Info Inc

Dataiku Developer

Stamford, CT · On-site

Solid understanding of ETL/ELT, data modeling, and SQL. * Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.). * Strong knowledge of Python and SQL ...

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

Design, build, and maintain scalable data ingestion and ETL/ELT pipelines in Microsoft Fabric (Data Factory pipelines, Dataflows Gen2, and Spark notebooks) to land data from source systems into ...

ClifyX

IDMC Developer - Informatica, IDMC

Stamford, CT · On-site

$56.75 - $74.75/hr

... databases, ETL, cloud, BI tools). • Collaborate with Data Governance, Data Engineering, and Business Teams to identify and onboard key metadata sources into Informatica IDMC. • Ensure data ...

Deloitte

Kinaxis Manager

Stamford, CT

... transform, load (ETL) tools, including Google Cloud Dataflow, Azure Data Factory, or Databricks * Experience with SQL or JavaScript * 3+ years of experience leading or coaching integration ...

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Showing results 21-40

All JobsExtract Transfer Load Data JobsExtract Transfer Load Data Jobs in Trumbull, CT

Extract Transfer Load Data information

See Trumbull, CT salary details

$45.1K

$161.9K

$238.9K

How much do extract transfer load data jobs pay per year?

As of Aug 15, 2026, the average yearly pay for extract transfer load data in Trumbull, CT is $161,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $166,800.00 per year, depending on experience, location, and employer.

What is the difference between Extract Transfer Load Data vs Data Analyst?

AspectExtract Transfer Load DataData Analyst
Primary RoleExtracts, transforms, and loads data for systems or databasesAnalyzes data to generate insights and reports
Skills & CertificationsSQL, ETL tools, data management certificationsSQL, data visualization, statistical analysis
Work EnvironmentData warehouses, ETL pipelines, IT departmentsBusiness intelligence, analytics teams, offices
Industry UsageData integration, database managementBusiness analysis, decision-making

While both roles involve working with data, Extract Transfer Load Data focuses on data extraction, transformation, and loading processes, often in IT or database environments. Data Analysts interpret data to provide insights and support business decisions. Understanding these differences helps clarify career paths and job expectations in data-related fields.

What job categories do people searching Extract Transfer Load Data jobs in Trumbull, CT look for?

The top searched job categories for Extract Transfer Load Data jobs in Trumbull, CT are:

Extract Transfer Load Data jobs near you

Cloud Data Architect -ELT AWS Snowflake with Security Clearance

Anonymous Employer

Redding Ridge, CT • On-site

$66 - $85/hr

Other

Re-posted 13 days ago

Job description

Duties & Responsibilities
• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
• Collaborate with data architects, modelers and IT team members to help define and evolve the overall cloud-based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks
• Collaborate with data scientists, analysts, and other business stakeholders to understand data requirements and deliver solutions.
• Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift) ensuring data quality, integrity, security, and accessibility.
• Implement data quality and validation processes to ensure data accuracy and reliability.
• Develop and maintain documentation for data processes, architecture, and workflows.
• Monitor and troubleshoot data pipeline performance and resolve issues promptly.
• Consulting and Analysis: Meet regularly with defined clients and stakeholders to understand and analyze their processes and needs. Determine requirements to present possible solutions or improvements.
• Technology Evaluation: Stay updated with the latest industry trends and technologies to continuously improve data engineering practices.
Requirements
Data Engineer
• Associate degree in Computer Science or MIS with a minimum of 4 years experience; or Bachelor degree in Computer Science, or MIS, or related field with a minimum of 2 years of experience; or a Master degree in Computer Science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.
• Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and data warehouses
• Knowledge of project management and experience working on project teams required.
• Moderate knowledge of and experience with life cycle methodology,
• Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)
• Moderate knowledge of and experience with the software development lifecycle.
• Experience working in project teams and contributing to a successful outcome
• Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation
• Proficiency in Python and SQL
Sr. Data Engineer • Associate degree in Computer Science, MIS or related field with a minimum of 8 years experience; or Bachelor degree in Computer Science, or MIS, or related field with minimum of 4 years of experience; or a Master degree in Computer Science, MIS, or related field with minimum 2 years of experience; or relevant Business or IT experience of minimum of 4 years.
• Cloud Expertise: Expert-level proficiency in at least one major cloud platform (AWS, Azure, or GCP) with extensive experience in their respective data services (e.g., AWS S3, Glue, Lambda, Redshift, Kinesis; Azure Data Lake, Data Factory, Synapse, Event Hubs; GCP BigQuery, Dataflow, Pub/Sub, Cloud Storage); experience with AWS data cloud platform preferred
• SQL Mastery: Advanced SQL writing and optimization skills.
• Data Warehousing: Deep understanding of data warehousing concepts, Kimball methodology, and various data modeling techniques (dimensional, star/snowflake schemas).
• Big Data Technologies: Experience with big data processing frameworks (e.g., Spark, Hadoop, Flink) is a plus.
• Database Systems: Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
• DevOps/CI/CD: Familiarity with DevOps principles and CI/CD pipelines for data solutions.
• Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation
• Proficiency in Python and SQL
• Desired Skills, Experience and Abilities
• 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data platforms.
• ETL/ELT Tools: Hands-on experience with ETL/ELT tools and orchestrators (e.g., Apache Airflow, Azure Data Factory, AWS Glue, dbt).
• Data Governance: Understanding of data governance, data quality, and metadata management principles.
• AWS Experience: Ability to evaluate AWS cloud applications, make architecture recommendations; AWS solutions architect certification (Associate or Professional) is a plus
• Familiarity with Snowflake
• Knowledge of dbt (data build tool)
• Strong problem-solving skills, especially in data pipeline troubleshooting and optimization

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