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Data Engineer Contract Jobs in Riverside, CT (NOW HIRING)

Gemini

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

Senior Data Engineer The Data team is responsible for designing and operating the data ... Experience with blockchain, crypto, Web3 data - e.g. blocks, transactions, contract calls, token ...

Gemini

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

Senior Data Engineer The Data team is responsible for designing and operating the data ... Experience with blockchain, crypto, Web3 data - e.g. blocks, transactions, contract calls, token ...

Wagmo

Senior Data Engineer

New York, NY · On-site

$180K - $205K/yr

As our dedicated data engineer, you'll partner closely with our data lead and senior analyst, turn ... Keep data trustworthy through validation, monitoring, anomaly detection, and clear contracts and ...

Deloitte

Senior Data Engineer

Stamford, CT · Hybrid

$113K - $153K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and optimization of high-volume data pipeline. * Define and enforce data engineering standards - naming ...

Imprint

Staff Data Engineer

New York, NY · On-site

$200K - $235K/yr

Establish company-wide data standards for modeling, lineage, contracts, and orchestration ... Elevate engineering practices across Analytics, Data, and Engineering teams through architecture ...

Tatari

Senior Data Engineer

New York, NY · On-site

$170K - $200K/yr

Strong data modeling skills for analytics - curated/gold-layer datasets, schema design, partitioning and data contracts consumed by downstream services * Ongoing interest in agentic developer ...

Tatari

Senior Data Engineer

New York, NY · Hybrid

$170K - $200K/yr

Strong data modeling skills for analytics - curated/gold-layer datasets, schema design, partitioning and data contracts consumed by downstream services * Ongoing interest in agentic developer ...

Plot Technologies, Inc

Staff Data Engineer

New York, NY · On-site

You'll lead decisions around which workloads belong where, and design the systems and contracts ... You'll define best practices, unblock other engineers, and become a go-to resource for data-related ...

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Showing results 21-40

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Riverside, CT

Data Engineer Contract information

See Riverside, CT salary details

$47.2K

$137.5K

$188.1K

How much do data engineer contract jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer contract in Riverside, CT is $137,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

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

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What job categories do people searching Data Engineer Contract jobs in Riverside, CT look for?

The top searched job categories for Data Engineer Contract jobs in Riverside, CT are:

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

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

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Riverside, CT as of June 2026, with employment types broken down into 50% Full Time, 6% Part Time, and 44% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $137,460 per year, or $66.1 per hour.

Senior Data Engineer (Banking)

Accord Technologies Inc.

New York, NY • On-site

$116K - $157K/yr

Contractor

Re-posted 27 days ago

Job description

Job Title: Senior Data Engineer (Banking)
Location: New York City, NY 
Position type: W2 contract
Mandatory skills: Data engineer, Snowflake, Databricks, Python, Pyspark, SQL, BankingKey Responsibilities

  • Design and develop robust ETL/ELT pipelines using Snowflake, Databricks, Python, PySpark, and SQL.

  • Build and optimize data warehouses, data marts, and real-time data solutions for banking applications.

  • Collaborate with quantitative analysts, data scientists, and business stakeholders to deliver actionable data products.

  • Implement data governance, quality checks, and monitoring frameworks aligned with banking regulations (SOX, GDPR, CCAR).

  • Mentor junior engineers and contribute to architectural decisions and best practices.

  • 9+ years of hands-on data engineering experience, with 3+ years in banking/financial services.

  • Expertise in Snowflake (SnowSQL, performance tuning, security) and Databricks (Delta Lake, Spark optimization).

  • Proficiency in Python and PySpark for large-scale data processing.

  • Advanced SQL skills for complex data modeling and query optimization.

  • Experience with cloud platforms (AWS/Azure) and CI/CD tools (Jenkins, Git).

  • Strong understanding of banking data domains: trading, risk, compliance, customer, transactions.
     

Certifications and additional skills:

  • SnowPro, Databricks Certified, AWS/Azure Cloud.

  • Knowledge of real-time streaming (Kafka, Spark Streaming).

  • Experience with data orchestration tools (Airflow, Dagster).

  • Familiarity with BI/visualization tools (Tableau, Power BI)