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Associate Data Engineer Jobs in Delaware (NOW HIRING)

Sallie_mae

Senior Associate, Data Analytics

Newark, DE · On-site

What You'll Contribute As the Senior Associate, Data Analytics, you will support our analytics ... Experience with SQL, Python, R, or other programming languages commonly used in analytics. * Strong ...

Sallie Mae

Senior Associate, Data Analytics

Newark, DE · On-site

What You'll ContributeAs the Senior Associate, Data Analytics, you will support our analytics ... Experience with SQL, Python, R, or other programming languages commonly used in analytics.Strong ...

Sallie Mae

Senior Associate, Data Analytics

Newark, DE · On-site

What You'll Contribute As the Senior Associate, Data Analytics, you will support our analytics ... Experience with SQL, Python, R, or other programming languages commonly used in analytics. * Strong ...

JPMorgan Chase & Co.

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

... engineering. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * In-depth knowledge of advanced machine ...

JP Morgan Chase

CCB Risk Program Associate

Wilmington, DE

$57K - $57K/yr

... engineering. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * In-depth knowledge of advanced machine ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Delaware

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for associate data engineer in Delaware is $18.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Delaware?

The most popular types of Data Engineer jobs in Delaware are:

What are popular job titles related to Associate Data Engineer jobs in Delaware?

For Associate Data Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Delaware look for?

The top searched job categories for Associate Data Engineer jobs in Delaware are:

What cities in Delaware are hiring for Associate Data Engineer jobs?

Cities in Delaware with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,008 per year, or $18.8 per hour.

Data Product Manager - Associate

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

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Re-posted 7 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.


As an Associate Data Product Manager in the Talent Data Product team, you will contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success. . In this role, you will help execute the roadmap for data products that support Talent Acquisition, Onboarding, Off‑boarding, and Workforce Planning. You will partner across Business Intelligence, AI/ML, Product, Information Architecture, and Data Engineering to deliver curated, high‑quality, well‑governed datasets that enable a cohesive, frictionless, and personalized candidate and employee experience. This is an execution‑oriented role with clear ownership of discovery, requirements, backlog, delivery coordination, and data product quality.


Job responsibilities

  • Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery

  • Considers and plans for upstream and downstream implications of new product features on the overall product experience

  • Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers

  • Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle

  • Writes the requirements, epics, and user stories to support product development

  • Conduct user discovery and stakeholder interviews to gather business requirements, pain points, and opportunities for improvement.

  • Partner with Business Intelligence, AI/ML, and Product teams to ensure data products meet reporting, analytics, and automation needs.

  • Collaborate with Information Architecture and Data Engineering to onboard new data sources and transform them into performant, fit-for-purpose data offerings.

  • Establish and maintain strong data governance, quality, and lifecycle management practices for talent data, ensuring compliance with firmwide standards.

  • Own the development and maintenance of data catalog, metadata, glossary, and lineage capabilities for Talent Acquisition and Off-boarding datasets.

  • Drive continuous improvement in data product offerings through stakeholder feedback, usage insights, and industry best practices.


Required qualifications, capabilities, and skills

  • 2+ years of experience or equivalent expertise in product management or a relevant domain area

  • Proficient knowledge of the product development life cycle

  • Experience in product life cycle activities including discovery and requirements definition

  • Developing knowledge of data analytics and data management.

  • Translate business needs into epics, features, and user stories with clear acceptance criteria; maintain a transparent, prioritized backlog and delivery plan.

  • Proficiency in SQL for data testing, validation, and ad‑hoc analysis; ability to guide users on how to access and use data products effectively.

  • Strong stakeholder engagement and communication skills; ability to translate technical capabilities into clear business outcomes and articulate trade‑offs.


Preferred qualifications, capabilities, and skills

  • Understanding of privacy and compliance considerations related to HR data.

  • Experience with data onboarding, metadata management, governance workflows, and compliance in control‑heavy or regulated environments with multiple lines of defense.

  • Working knowledge of modern data platforms and cloud ecosystems, including entitlements, catalog, lineage, and data quality tooling


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