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Data Engineer Jobs (NOW HIRING)

MFour Data Research, Inc.

$84K - $101K/yr

The Data Engineer will design, implement, and manage scalable data pipelines, databases, and processing systems to support engineering, product, and analytics teams. This includes developing and ...

MFour Data Research, Inc.

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

The Data Engineer will design, implement, and manage scalable data pipelines, databases, and processing systems to support engineering, product, and analytics teams. This includes developing and ...

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more effectively access, explore, and leverage enterprise data to generate insights, build models, and ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Zachary Piper Solutions

Data Engineer

Norfolk, VA · On-site

$95K - $105K/yr

The Data Engineer will be responsible for ingesting, transforming, staging, aggregating, and preparing enterprise data for reporting and analytics initiatives across multiple systems and databases.

Platinum Technologies

Data Engineer

Herndon, VA

$117K - $141K/yr

Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and ...

RPMGlobal

NY · On-site

$112K - $135K/yr

Position Summary Base-2 Solutions is seeking a Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves developing, maintaining, and optimizing data integration ...

Northern Base

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role Summary We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar

RIT Solutions, Inc.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking a Data Engineer to build and maintain data pipelines for processing data from CSV files through various transformation stages. The role involves developing ETL ...

The Atlantic Group

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Our client, a mid-size global investment firm with $75 Billion AUM, is seeking a talented full-time Data Engineer to join their Boston data engineering team where the impact will be immediate and ...

The Joint Commission

Data Engineer

Oak Brook, IL · On-site

$143K/yr

Overview The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data ...

RIT Solutions, Inc.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking a Data Engineer responsible for building and maintaining data pipelines that process data from CSV files through various transformation stages. The role requires hands ...

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Role Summary We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Booz Allen Hamilton

Data Engineer

Washington, DC · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

Join our growing data team at Green River as a Data Engineer. This role will support projects that matter by designing, building, and maintaining robust data infrastructure and workflows to support ...

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DATA Engineer information

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$44.5K

$129.7K

$177.5K

How much do data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
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Cities with the most Data Engineer job openings:

What are the most commonly searched types of Data Engineer jobs?

The most popular types of Data Engineer jobs are:

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What states have the most Data Engineer jobs?

States with the most job openings for Data Engineer jobs include:

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For Data Engineer jobs, the most frequently searched job titles are:

DATA Engineer jobs near you
Infographic showing various Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

On-site

MFour Data Research, Inc.
See more jobs at MFour Data Research, Inc.external

$84K - $101K/yr

Other

Medical, Dental, Vision, Life

Posted 6 days ago

Job description

Our Story:

Founded in 2011, MFour is a fast-growing data and analytics technology company “democratizing” consumer insights. Named a 2023 “top 25 L.A. tech companies to watch,” by Built In, we’ve created a SaaS ecosystem, giving businesses access to united shopper behavior + opinion data that uncovers the whos, whats, whys, whens, and wheres behind consumers in ways never before possible. We help 25% of the Fortune 100 plus organizations of all sizes make product, brand, and advertising decisions.

Our Product:

Using the nation’s most downloaded, highest-rated, and only Apple-approved app & web data collection and survey app (Surveys On The Go®), MFour is the only consumer market research company that guarantees accurate, validated responses for every survey, giving businesses the data and insights they need to make impactful decisions. From validated opinion and behavior trackers to advertising exposure measurement, MFour is trusted by hundreds of leading companies.

Our Goal:

To eliminate the unknown (data blind spots) within market research in a way that recognizes a consumer’s right to privacy, so marketers can make better decisions about new and existing products, advertising choices, and competitive positioning. MFour is trusted by hundreds of leading brands, including Google, Microsoft, Samsung, Walmart, Disney, Spotify, and Lowe’s.
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Our Core Values:

Simplicity, Humility, Quality, Consistency, and Innovation.

Your Journey to Success:

The Data Engineer will design, implement, and manage scalable data pipelines, databases, and processing systems to support engineering, product, and analytics teams. This includes developing and administering platforms like Databricks and Snowflake, optimizing data architecture, and ensuring performance, scalability, and reliability.

Your Mission:
  • Data Infrastructure Development:
  • Design, build, and maintain scalable data pipelines to process large volumes of structured and unstructured data.
  • Optimize data architecture for both real-time and batch processing workflows.
  • Integrate and maintain PostgreSQL, MySQL, Databricks, and Snowflake within our data ecosystem.
  • Databricks Development and Administration:
  • Develop and manage workflows on Databricks to support ETL/ELT processes.
  • Optimize Databricks performance for distributed computing and data processing.
  • Monitor, troubleshoot, and ensure the reliability of Databricks clusters and jobs.
  • Snowflake Development and Administration:
  • Design and optimize Snowflake schemas and data warehouses for efficient querying.
  • Develop and manage data ingestion pipelines for Snowflake using modern tools and frameworks.
  • Administer Snowflake environments, including account management, performance tuning, and resource optimization.
  • Database Management:
  • Administer PostgreSQL and MySQL databases, ensuring high availability and performance.
  • Implement and enforce data governance practices to ensure data security and compliance.
  • Partner with analytics and engineering teams to define data needs and deliver solutions for business insights.
  • Work with product teams to align data solutions with product goals and user requirements.
  • Monitoring and Troubleshooting:
  • Set up monitoring and alerting systems for data platforms and pipelines.
  • Proactively debug and resolve data-related issues to ensure system reliability.
  • Innovation and Best Practices:
  • Stay current with emerging trends and advocate for tools and practices that enhance data engineering efficiency.
  • Document workflows, pipelines, and platform configurations to foster team collaboration and knowledge sharing.
What Sets You Apart
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 3+ years of professional experience in data engineering or related fields.
  • Proficiency in Databricks development and cluster administration.
  • Hands-on experience with Snowflake development and administration, including performance tuning and security configuration.
  • Strong understanding of relational databases, particularly PostgreSQL and MySQL.
  • Expertise in programming languages like Python, Scala, or SQL for data processing and automation.
  • Familiarity with ETL/ELT tools and frameworks such as Apache Airflow or dbt.
  • Experience with cloud platforms (AWS, Azure, or GCP).
Preferred Skills:
  • Knowledge of distributed systems and big data frameworks like Spark.
  • Experience with CI/CD pipelines for deploying data workflows.
  • Familiarity with real-time streaming technologies (Kafka, Kinesis, etc.).
Why Join Us?
  • Work with a passionate, innovative team driving the next wave of industry solutions.
  • Opportunities for professional growth and continuous learning.
  • Competitive compensation, comprehensive benefits, and a flexible work environment.
In return for your dedication, we offer:
  • $125,000
  • Top-tier health benefits include; medical, dental, vision, LTD, and life insurance
  • Additional benefits
  • Unlimited PTOIn the WeWork office In the heart of the financial district in downtown Kansas City
  • Open space concept & team-focused atmosphere
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