ZipRecruiter

Log In

1

Data Engineer Data Analyst Jobs (NOW HIRING)

Mi-Case

Data Analyst

Phoenix, AZ · On-site

Collaborate with Mi-Case Application Developers, Legacy System Subject Matter Experts (SMEs), and stakeholders to gather, document, and analyze data migration requirements. * Analyze and map data ...

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

ACI Infotech

Data Analyst

Tampa, FL · On-site

Job Title: Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an ... Data engineer: ETL process, data warehouse, Snowflake. Wide experience in collaboration with ...

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Collaborate with analysts, data scientists, and stakeholders. Required Skills and Experience * Bachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field. * AWS ...

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

... programming language (SQL, PLSQL, R, Python, etc) * 2+ years' experience in data analytics on any ... data warehouse (Oracle, SQL, Snowflake) * Healthcare experience a plus * Agile/SAFe experience a ...

New

Helishores

$80 - $100/hr

... Engineer or related using Power BI, SQL queries, ETL design, and performing Data Analysis/Validation Address : 15 Corporate Place S, Suite 207, Piscataway, NJ 08854 #J-18808-Ljbffr

TiltEdge Solutions LLC

Data Analyst/BI Engineer

Plano, TX · On-site

$45 - $50/hr

Role: Data Analyst/BI Engineer Location: Plano, TX / Atlanta, GA - Hybrid (3 days/week on-site) Client: AMDOCS/ AT&T Required Skills: Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ...

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 ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

... Engineer, Data Analyst, or related technical role. * 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar). Preferred ...

MANTECH

Data Scientist

Fort George G Meade, MD

... Engineer, Data Analyst, or related technical role. * 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar). Preferred ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement ... and analytics platform. · Design, develop, test, and deploy production-grade dbt models ...

previous pagenext page

Showing results 21-40

All JobsData Engineer Data Analyst Jobs

Data Engineer Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Sep 7, 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.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.
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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 6 days ago

Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML

Apply