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Associate Data Engineering Jobs in Delaware (NOW HIRING)

Assoc SW Engineer - Java, Spring Boot, AWS

Seaford, DE · Remote

$48.75 - $66.75/hr

In this role the Associate Engineer will work under the supervision of Technical Team lead or ... Create test data manually and/or systematically to test software programs. - Perform production ...

New

Assoc SW Engineer - Java, Spring Boot, AWS

Newark, DE · Remote

$50.50 - $69.50/hr

In this role the Associate Engineer will work under the supervision of Technical Team lead or ... Create test data manually and/or systematically to test software programs. - Perform production ...

New

Assoc SW Engineer - Java, Spring Boot, AWS

Smyrna, DE · Remote

$45.25 - $62/hr

In this role the Associate Engineer will work under the supervision of Technical Team lead or ... Create test data manually and/or systematically to test software programs. - Perform production ...

New

Assoc SW Engineer - Java, Spring Boot, AWS

Dover, DE · Remote

$51.75 - $71/hr

In this role the Associate Engineer will work under the supervision of Technical Team lead or ... Create test data manually and/or systematically to test software programs. - Perform production ...

New

Associate, DevOps Engineer

Wilmington, DE · On-site

$51.25 - $70/hr

... data. It enables institutions to make informed decisions, operate at scale, and strengthen ... You will work closely with engineering and operations teams to reduce manual effort, improve system ...

Associate, DevOps Engineer

Wilmington, DE · On-site

$51.25 - $70/hr

... data. It enables institutions to make informed decisions, operate at scale, and strengthen ... You will work closely with engineering and operations teams to reduce manual effort, improve system ...

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Showing results 1-20

Associate Data Engineering information

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

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

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Delaware? The most popular types of Data Engineering jobs in Delaware are:
Senior Product Associate - CARD DATA OWNERS

Senior Product Associate - CARD DATA OWNERS

JPMorgan Chase & Co.

Wilmington, DE • On-site

$122.80K - $162.10K/yr

Full-time

Medical, Retirement

Posted 27 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

45th of 141 rated banks


Job description

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. Ignite your passion for product innovation by leading customer-centric development, inspiring solutions and shaping the future with your strategy vision and influence. You will lead innovation through the development of products and features that delight customers and partners. You will leverage capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs. An opportunity to drive strategy and implementations of analytical data products for our businesses and customers that can improve our businesses insights and ability to serve our customers.
As a Senior Product Associate in Data Privacy Product team, 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. You will work with business analysts and senior business leads to understand their business outcomes to drive insights using existing, or brand-new data product curation. As a member in this team, you will also be focused on a new key partnership won by the Card business and be expected to deliver analytical data product solutions for their consumption working with business stakeholders / analysts, engineers and architects.
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
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
  • Drives with a product mindset to help tell a story of the importance of data, how data drives business outcomes and enhancing our customer's experience
  • Partners with data owners, engineering, data science, and business stakeholders to deliver scalable, compliant data product solutions and generative AI solutions.
  • Analyzes data, extract actionable insights, and connect findings to business strategy, highlighting the importance of data quality and centralized data management in a data lake.
  • Translates business requirements into clear technical specifications and user stories for development teams.
  • Owns product performance and is accountable for investing in enhancements to achieve business objectives
  • Develops a strong partnership with Stakeholders; communicating product updates, influencing the importance of data to the organization, progress and strategy to stakeholders; including executives and customers.

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
  • Experience in API-first product design, data governance, and real-time data processing, experience in delivering enterprise-scale data products with measurable business outcomes. Hands-on exposure to tools such as Snowflake and can dive into the detail
  • 4+ years of experience or equivalent expertise delivering products, projects, or technology applications
  • Experience in influencing the adoption of key product life cycle activities including discovery, ideation.
  • Strategic development, requirements definition and value management
  • Experience in driving change within organizations and managing stakeholders across multiple functions, Structured thinker and effective communicator with excellent written and verbal communication skills
  • Strong understanding of agile methodologies and experience with them
  • Technical knowledge of data engineering, data pipelines, data modeling and data architecture

Preferred qualifications, capabilities, and skills
  • Recognized thought leader within a related field
  • High proficient in data querying with languages as Python, R, Perl, SQL
  • Experience in product development
  • Good knowledge of the product development life cycle, technical design and data analytics
  • Familiarity with different data environments such as AWS S3, Snowflake and Data Bricks

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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