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Associate Data Engineer Jobs in Newark, DE (NOW HIRING)

AllSTEM Connections

Engineering Associate

Wilmington, DE · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Engineering Associate (R&D / Laboratory) Role Overview We are seeking a motivated Engineering ... Data Management: Proactively collect, compile, and organize data from various tests for analysis by ...

AllSTEM Connections

Engineering Associate

Wilmington, DE · On-site

$72K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Engineering Associate (R&D / Laboratory) Role Overview We are seeking a motivated Engineering ... Proactively collect, compile, and organize data from various tests for analysis by the engineering ...

Bread Financial

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... New associate elected coverage begins on date of hire (with the exception of disability coverage ...

J.P. Morgan

Data Science Product Senior Associate

Newark, DE · On-site

  • Medical

  • Retirement

You will partner with product, data science, and engineering to deliver userâcentric capabilities ... Job summary As a Data Science Product Associate in the Firmwide Finance Business Architecture Core ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Newark, DE

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for associate data engineer in Newark, DE is $18.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $19.57 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 Newark, DE?

The most popular types of Data Engineer jobs in Newark, DE are:

What are popular job titles related to Associate Data Engineer jobs in Newark, DE?

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

What job categories do people searching Associate Data Engineer jobs in Newark, DE look for?

The top searched job categories for Associate Data Engineer jobs in Newark, DE are:

What cities near Newark, DE are hiring for Associate Data Engineer jobs?

Cities near Newark, DE with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Newark, DE as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $38,103 per year, or $18.3 per hour.

Data Product Manager - Sr. Associate

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 19 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

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 a Senior Product Manager - Sr. Associate in Talent Data Product , you 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, Offboarding, and Workforce Planning. You will partner across Business Intelligence, AI/ML, Product, Information Architecture, and Data Engineering to deliver curated, highquality, wellgoverned datasets that enable a cohesive, frictionless, and personalized candidate and employee experience. This is an executionoriented 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
  • 3+ 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 literacy
  • Translate business needs into epics, features, and user stories with clear acceptance criteria; maintain a transparent, prioritized backlog and delivery plan.
  • Working knowledge of modern data platforms and cloud ecosystems, including entitlements, catalog, lineage, and data quality tooling.
  • Proficiency in SQL for data testing, validation, and adhoc analysis; ability to guide users on how to access and use data products effectively.
  • Experience with data onboarding, metadata management, governance workflows, and compliance in controlheavy or regulated environments with multiple lines of defense.
  • Strong stakeholder engagement and communication skills; ability to translate technical capabilities into clear business outcomes and articulate tradeoffs.
Preferred qualifications, capabilities, and skills
  • Experience working with Talent-related processes, systems, or data.
  • Understanding of privacy and compliance considerations related to HR data.

#hrcdao

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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