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Associate Data Engineering Jobs in Delaware (NOW HIRING)

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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:
Quant Analytics Associate I - Data Validation

Quant Analytics Associate I - Data Validation

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 9 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
We offer an exciting opportunity to make a meaningful impact on customer experience by ensuring the accuracy of account corrections. As a Quant Analytics Associate I, you will be part of a dynamic team dedicated to upholding data integrity and compliance. You will collaborate with experts across multiple business lines to deliver high-quality solutions. Your work will directly contribute to the trust our customers place in us. Join us and help shape the future of Consumer and Community Banking.
As a Quant Analytics Associate I - Data Validation at JPMorgan Chase within the Remediation and Correction team, you will play a critical role in identifying, classifying, and correcting customer impacts caused by business process or operational breaks. You will work closely with Business Analysts, Correction Analysts, and Testing Analysts to ensure accurate account corrections. Your responsibilities will include validating data, reviewing code, and ensuring compliance with regulatory guidelines. This role requires strong analytical and communication skills, and adherence to personal account dealing policies is required for the position. You will be part of a collaborative environment focused on delivering high-quality results.
Job Responsibilities
  • Develop and create code by reviewing business requirements across multiple Lines of Business in CCB.
  • Validate data and data sources to ensure accuracy in account corrections.
  • Write independent queries and run checks to validate population and output files.
  • Trace and effectively communicate coding defects to relevant stakeholders.
  • Document data validation plans and findings/defects.
  • Ensure correct formatting and logic of all output files.
  • Collaborate with team members to resolve complex data issues.
  • Adhere to regulatory guidelines and best practice standards.
  • Support process improvements and quality initiatives.
  • Communicate findings and recommendations clearly.
  • Manage multiple tasks and priorities in a fast-paced environment

Required Qualifications, Capabilities, and Skills
  • Minimum of 3 years experience in Data Validation role, with expertise in SQL/SAS code analysis and query writing.
  • Ability to understand and analyze complex queries under tight deadlines.
  • Experience running multiple UNIX scripts simultaneously.
  • Thorough knowledge of database partitioning systems and their functions.
  • Advanced querying skills in SAS, SQL, and Snowflake environments.
  • Strong analytical and problem-solving skills.
  • Ability to validate data and data sources effectively.
  • Excellent communication skills (written and verbal).
  • Detail-oriented with a focus on quality.
  • Team player with the ability to work independently.
  • Bachelor's Degree or equivalent experience.

Preferred Qualifications, Capabilities, and Skills
  • Experience in Auto or Wealth Management environments
  • Familiarity with finance charges and fee structures.
  • Knowledge of regulatory requirements in banking.
  • Experience with large-scale data correction projects.
  • Ability to document and present findings to senior management.
  • Proficiency in additional programming languages or Object-Oriented programing (e.g., Python, R).
  • Strong organizational and time management skills.

The position requires the employee to be on-site, working full-time in the office five days a week in Columbus, Ohio or Wilmington, Delaware.
This role is not eligible for visa sponsorship
About Us
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
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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