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Data Engineer Data Analyst Jobs (NOW HIRING)

Recruit Professional Services

Data Engineer

Bedminster, NJ · On-site

$116K - $140K/yr

Data Engineer Responsibilities * Develop and maintain scripts and tools using Python, PowerShell ... data, analytics, and reporting solutions. * Ensure accurate and efficient data integration of ...

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 ...

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 ...

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 ...

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 ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

Our data analytics advisory services enable our customers to transform data into insights by ... For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer ...

Elder Research

Data Analyst

Arlington, VA · Hybrid

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Elder Research

Data Analyst

Arlington, VA · On-site

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Cymertek

Data Conditioning Systems Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Data Conditioning Systems Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please ... data for analysis, modeling, and operational use. The ideal candidate will have a strong ...

Elder Research

Data Analyst

Arlington, VA · Hybrid

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

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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 Jul 8, 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 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Engineer

Data Engineer

Recruit Professional Services

Bedminster, NJ • On-site

$116K - $140K/yr

Other

Re-posted 9 days ago

Job description

Data Engineer
Responsibilities
  • Develop and maintain scripts and tools using Python, PowerShell, and R.
  • Design, write, and optimize SQL queries for performance and scalability.
  • Help modernize 'legacy' solutions to realign with our current code base and tech stack.
  • Assist in redevelopment, improvement and ongoing maintenance of existing data, analytics, and reporting solutions.
  • Ensure accurate and efficient data integration of diverse data sources and formats.
  • Enhance and support database functions and procedures.
  • Optimize data access and data processing workflows for performance, scalability, and efficiency/
  • Implement data quality checks and validations to ensure the accuracy, consistency, and completeness of data.
  • Identify and resolve performance bottlenecks, investigate and troubleshoot data related issues, and provide solutions to address defects.
  • Seamlessly transition between production support and development tasks based on business needs.
  • Deploy and manage code utilizing engineering best practices in non-prod and prod environments.

Requirements:
  • Bachelor's Degree in computer science, data science, software engineering, information systems, or related quantitative field.
  • Minimum 4 years of experience working as a Python Developer, Solutions Engineer, Data Engineer, or similar roles.
  • 4+ years of solid continuous experience in Python.
  • 3+ years of solid experience writing SQL and PL/SQL code.
  • 3+ years of experience working with relational databases (solid understanding of Oracle preferred).
  • 2+ years of experience scripting with PowerShell.
  • Experience programming in R.
  • Experience with web application frameworks including Shiny, Dash, Streamlit.
  • Experience with CI/CD utilizing git/Azure DevOps.
  • Knowledge of alternative storage formats including Parquet/Arrow/Avro.
  • Ability to collaborate within and across teams of different technical knowledge to support delivery of solutions.
  • Expert problem-solving skills, including debugging skills, enabling the determination of sources of issues in unfamiliar code or systems.
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