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Data Engineer Data Analyst Jobs (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

McLeod Software

Analyst, Enterprise Data

Birmingham, AL · On-site

Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required. * Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI ...

Data Ideology

Data Engineer

Pittsburgh, PA · Remote

$117K - $140K/yr

Our data analytics advisory services enable our customers to transform data into insights by ... Data Engineer will leverage their business and technical knowledge to develop production-ready data ...

Onebridge

Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and ...

Onebridge

Data Engineer

Lawrence Township, NJ

$127K - $152K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and ...

Onebridge

Data Engineer

Lawrence, NJ · On-site

$122K - $146K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... This role sits within an analytics-focused business unit supporting IRS enforcement, compliance ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

... Engineering, Product and several other teams. We are looking for a data analyst who shares our ... passion for helping make apps and products reliable and safe. The right candidate will be ...

TriOptus LLC

DataOps Engineer

Montpelier, VT · On-site

$115K - $139K/yr

DataOps Engineer Job Type: Contract Duration: 12-15 months (with potential for extension) Work ... This role focuses on building and operationalizing modern data quality, governance, analytics, and ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

... Engineering, Product and several other teams. We are looking for a data analyst who shares our ... passion for helping make apps and products reliable and safe. The right candidate will be ...

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Data Engineer Data Analyst information

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

As of Jun 17, 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.

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.

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 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
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Data Engineer Data Analyst jobs near you

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Posted 20 days ago

Job description

Overview:
Job Title: Data Analyst
Job Location: Remote
Interview: Virtual
Job Duration: 6 Months Contract
Overview:
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.
Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
  • Perform data validation and quality checks using SQL and Python
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights
  • Analyze data structures, relationships, and lineage to ensure data integrity
  • Ensure data is usable, consistent, and reliable for analytics, BI, and business teams
  • Support data manipulation, reporting, and downstream data consumption
  • Collaborate with stakeholders to understand data requirements and usage

Required Qualifications
  • Bachelor's degree (Master's or PhD preferred)
  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
    • Data shape, relationships, and storage
    • Data quality, consistency, and lineage
    • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications
  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

Skills:
Data Analyst,pYTHON

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