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Associate Data Engineering Jobs (NOW HIRING)

cosm

Associate Data Engineer

Los Angeles, CA · On-site

$75K - $90K/yr

We are looking for an Associate Data Engineer to join our team at Cosm. The successful candidate will be responsible for building and managing data pipelines that power business operations for Cosm ...

cosm

Associate Data Engineer

Los Angeles, CA

$75K - $90K/yr

We are looking for an Associate Data Engineer to join our team at Cosm. The successful candidate will be responsible for building and managing data pipelines that power business operations for Cosm ...

cosm

Associate Data Engineer

Los Angeles, CA

$75K - $90K/yr

We are looking for an Associate Data Engineer to join our team at Cosm. The successful candidate will be responsible for building and managing data pipelines that power business operations for Cosm ...

Cosm

Associate Data Engineer

Los Angeles, CA · On-site

$75K - $90K/yr

We are looking for an Associate Data Engineer to join our team at Cosm. The successful candidate will be responsible for building and managing data pipelines that power business operations for Cosm ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL · On-site

$16.50 - $21.50/hr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

insightsoftware

Associate Data Engineer

$117K - $140K/yr

What You Will Do Data Engineering * Design, build, and maintain ELT/ETL pipelines that move data reliably from source systems into a cloud data warehouse environment. * Write clean, performant, and ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL · On-site

$85K - $110K/yr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

Amplify

Associate Data Scientist

Brooklyn, NY · On-site

$95K - $110K/yr

As an Associate Data Scientist at Amplify, you will join a talented, cross-functional team ... Partner with product managers, researchers, engineers, and content developers to answer complex ...

ICONIQ

Senior Associate, Data Engineer

New York, NY · On-site

$180K - $200K/yr

The Senior Associate, Data Engineer will join the Data & Analytics function within our Technology ... Develop modern data architecture and engineering standards that improve platform scalability ...

Amway

Associate Cloud Data Engineer II

Ada, MI · On-site

$78K - $97K/yr

Associate Data Engineer II Department / Division ... Data Engineering & Enterprise Integrations/ Data Warehousing Salary Range: $78,875/yr - $97,434/yr ...

Bakertilly

Associate Data Engineer

Frisco, TX · On-site

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data ... Data Engineering: Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data ...

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Associate Data Engineering information

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How much do associate data engineering jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for associate data engineering in the United States is $33.07, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $39.18 per hour, depending on experience, location, and employer.

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 cities are hiring for Associate Data Engineering jobs? Cities with the most Associate Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
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Associate Data Engineering jobs near you

Associate Data Engineer

Kodiak Interiors Group

Englewood, CO • On-site

$75K - $85K/yr

Full-time

Posted 5 days ago

Job description

About Us:

Kodiak Interiors Group is a family of companies that provide high-quality appliances to professional builders, contractors/remodelers, and consumers. KIG is headquartered in Colorado and currently operates five (5) companies with 35+ locations in 6 states (AZ, CO, PA, TX, WA, & WV). Since 2014, KIG’s dedicated team of appliance and interior experts has been a driving force behind KIG’s success—championing growth, inspiring innovation, and cultivating a culture of excellence. Visit our website to learn more about the KIG family of companies: www.Kodiakig.com.

Position Summary:

The Associate Data Engineer supports executive decision-making and strategic planning by streamlining, maintaining, and analyzing financial data and information. This role is responsible for ensuring the accuracy, accessibility, and reliability of financial and operational data across the organization. Working closely with business leaders and cross-functional teams, the Associate Data Engineer analyzes data, identifies trends and opportunities, and delivers actionable insights that help drive informed business decisions. The ideal candidate combines strong technical skills with a business-minded approach to transforming complex data into meaningful findings and recommendations.


Responsibilities:

  1. Financial Data Integrity & Reporting Tools
    1. Maintain data flow & integrity between ERPs and consolidation reporting/BI software
    2. Integrate numerous data sources & uploads into reporting/BI software or data warehouse
    3. Assist in the development of new reporting capabilities & KPIs
    4. Assist coworkers in learning reporting software
    5. Maintain accesses/security to reporting tools
  2. Segment Financial Analysis
    1. Build and maintain reports used by segment and company management to make crucial operating decisions
    2. Analyze data and look for business growth or savings opportunities
    3. Meet with segment and business leaders to understand business needs
    4. Integrate new acquisitions into financial analysis reporting
  3. Budget & forecasting
    1. Lead select businesses or segments through the entire annual operating planning process (AOP)
    2. Dedicated resource to local or segment presidents on forecast assumptions, including providing recommendations or analysis
    3. Create tools & templates to enhance the budgeting process
  4. Responsible for management reporting & analysis and support of executive, board & investor relations materials, including:
    1. Segment level financial reports
    2. Customer, Vendor, and Product Analysis
    3. Payroll and HC Analysis
    4. Net Working Capital Analysis
    5. Rate/Volume analysis

Qualifications:

  • Bachelors Degree or 3 years experience is required; preferably Computer Science or Data Engineering
  • Strong SQL skills required; experience in Python, Snowflake/data warehouses a plus
  • Knowledge of Power Automate and ETL tools
  • Strong analytical mind and quantitative skillset is required
  • Self-starting attitude with internal drive to succeed

Physical Requirements:

  • Sit, stand, walk, bend, kneel, reach, and lift up to 50 pounds.
  • Operate cameras, computers, lighting, and production equipment.
  • Minimal travel by car or plane

Work Environment:

This position is primarily on-site at our headquarters located at: 188 Inverness Dr. W Ste. 675 Englewood, CO 80112. Regular in-person attendance is required Monday through Thursday. Friday is an optional remote workday.

Why Join Us?

Kodiak’s culture is defined by entrepreneurial spirit, collaboration, and family values—every team member is empowered to thrive and grow!


Kodiak Interiors Group is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by federal, state, or local law.