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Data Engineer Data Analyst Jobs (NOW HIRING)

Kforce Technology Staffing

Data Engineer

Juno Beach, FL · On-site

$111K - $134K/yr

Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data pipelines and feature engineering workflows * Work with SQL and/or cloud-based data ...

Calpine

Engineer - Data Analyst

Pasadena, TX · On-site

The ideal candidate will have a strong background in data analysis, with experience in data ... Bachelor's degree in Engineering, Data Science, Computer Science, Mathematics, Statistics, or a ...

Calpine

Engineer - Data Analyst

Pasadena, TX

The ideal candidate will have a strong background in data analysis, with experience in data ... Bachelor's degree in Engineering, Data Science, Computer Science, Mathematics, Statistics, or a ...

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Data Engineer Data Analyst information

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$34K

$82.6K

$136K

How much do data engineer data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineer data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, and sometimes stock options or bonuses.

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

What are the key skills and qualifications needed to thrive as a Data Engineer/Data Analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

More about Data Engineer Data Analyst jobs
What cities are hiring for Data Engineer Data Analyst jobs? Cities with the most Data Engineer Data Analyst job openings:
What states have the most Data Engineer Data Analyst jobs? States with the most job openings for Data Engineer Data Analyst jobs include:
What job categories do people searching Data Engineer Data Analyst jobs look for? The top searched job categories for Data Engineer Data Analyst jobs are:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Engineer /Data Analyst consultant

Data Engineer /Data Analyst consultant

Apex Informatics

Cupertino, CA • On-site

Other

Posted 20 days ago

Job description

Title: Data Engineer /Data Analyst consultant
Onsite- Cupertino, CA
Looking for a 5-6 yrs experienced Data Engineer /Data Analyst consultant on-site in Cupertino with SQL/Postgres, tableau, dbt and basic python .. real good resumes and good communication skills

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