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Associate Data Engineering Jobs in Delaware (NOW HIRING)

Via spreadsheets and programming, our team transforms and modifies the data in a client preferred ... Associate's Degree/High School/GED plus relevant experience will also be considered * Experience ...

Warehouse Associate

Middletown, DE · On-site

$15 - $18/hr

Adhere to gowning/entry procedures for controlled areas; safeguard data integrity (ALCOA ... Collaborate with QA, QC, Manufacturing, MSAT/Engineering, Planning/Procurement, and EHS. Equipment ...

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Associate Data Engineering information

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 does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and may assist in data quality and integration tasks under the supervision of senior engineers.

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 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 engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, specialized knowledge, or working in high-demand industries such as finance or technology. Achieving this level typically requires a combination of technical proficiency, certifications, and strategic career development.

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.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries around or above $200,000 annually. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, certifications, and industry demand.

What engineers make 200,000 a year?

Senior data engineers and specialized software engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High salaries are common in competitive markets and large organizations that require complex data infrastructure and engineering expertise.
What are the most commonly searched types of Data Engineering jobs in Delaware? The most popular types of Data Engineering jobs in Delaware are:
Marketing Analytics Senior Associate - Card Data Analytics

Marketing Analytics Senior Associate - Card Data Analytics

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 16 hours ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

Join the Card Marketing Analytics team within Consumer Community Banking Data & Analytics and help shape the strategy of Chase's Credit Card marketing campaigns. This role offers the opportunity to influence multimillion dollar marketing spend, develop your analytics skills, and collaborate with talented colleagues. Grow your career in a dynamic environment that values innovation, strategic thinking, and impactful business decisions.

As a Marketing Analytics Senior Associate in the Card Data & Analytics team, you will focus on translating customer behavioral data into insights that drive marketing strategies to influence card acquisitions on digital channels. You will develop, plan, and execute analytical projects both individually and as part of a team. You will work closely with Analysts, Channel Marketing partners, Data Owners, and Product Owners to deliver capabilities that unlock the power of our data and drive business growth.

You will own end-to-end analytics for multiple campaign strategies, conduct research and recommend marketing strategies, and synthesize large volumes of data into actionable insights. Your work will support business growth targets and provide practical data insights to senior leadership through compelling presentations and visualizations.

Job Responsibilities

  • Own end-to-end analytics for multiple campaign strategies on digital channels, including campaign performance measurement, ad hoc analysis, A/B and incrementality test reads, and profitability and optimization analysis
  • Partner with marketing strategy managers across Card Digital channels to optimize campaigns, develop new strategies, and provide best-in-class analytics to influence and grow new card acquisitions
  • Conduct research and recommend marketing strategies in the digital space to the card business
  • Support business growth targets by providing concise, insightful, and timely analytics for key trends by analyzing large datasets
  • Synthesize large volumes of data into actionable insights to influence business and marketing strategies
  • Deliver practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations

Required qualifications, capabilities, and skills

  • Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
  • 3+ years of industry experience in business analytics roles (e.g., digital analytics, customer analytics, marketing analytics, sales analytics, business insights)
  • Advanced knowledge of querying databases using SQL
  • Experience across a broad range of modern data science and analytics tools (Hive, Python, R, Alteryx)
  • Experience with visualization techniques for data analysis and presentation (Tableau, Power BI)
  • Experience with web analytics tools (Google Analytics, Adobe Analytics)
  • Knowledge in modern data mining, quantitative research, and data science techniques (e.g., Machine learning)
  • Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners

Preferred qualifications, capabilities, and skills

  • Financial services background
  • Intellectually curious and eager to become subject matter expert in their focus area
  • A strategic thinker with the ability to focus on business goals
  • Highly organized and able to prioritize multiple tasks

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

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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