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Data Engineer Project Jobs (NOW HIRING)

Loxo

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

You will also be working on many data engineering projects across the data team, as we invest heavily in our data engineers to contribute and grow professionally to become incredible data engineers ...

Loxo

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

You will also be working on many data engineering projects across the data team, as we invest heavily in our data engineers to contribute and grow professionally to become incredible data engineers ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

Project management tools like Atlassian JIRA. Even better if you have... * Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a ...

Conch Technologies

Lead Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Leverage GitHub as a code repository for version control and collaboration on data engineering projects. * Utilize GitHub CoPilot to enhance development efficiency and streamline coding processes.

New

RIT Solutions, Inc.

Lead Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

RIT Solutions, Inc. is seeking a Lead Data Engineer to work on data engineering projects with a focus on healthcare data standards. The role involves managing data migration, ETL processes, and ...

Cloud BC Labs

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

Proven experience in leading data engineering projects and mentoring junior Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively ...

Mindlance

AWS Data Engineer

Albany, NY · On-site

$113K - $136K/yr

... project performance and scalability. Responsibilities : • Work with DOH teams to modernize data ... engineers, and provide technical direction throughout product life cycle. • Create high-level ...

Applied Information Sciences

Data Engineer

$110K - $166K/yr

You'll work on projects that matter, alongside industry-leading experts, in an environment that ... Project Summary The Data Engineer will design, build, and maintain scalable data solutions that ...

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

We are seeking passionate, talented engineers to work on exciting projects using the latest tools ... Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more ...

KARTHIK CONSULTING, LLC

$84K - $101K/yr

Experience utilizing program and project management tools, such as Azure DevOps and GitHub, to plan ... Certifications for Databricks (Data Engineer Associate) Key Responsibilities * Configure and ...

Lawrence Harvey

Data Engineer

Edison, NJ · On-site

$88K - $105K/yr

Academic or project experience building data pipelines or working with data transformation ... Data Engineer | Hybrid | Metropark, New Jersey

KARTHIK CONSULTING, LLC

Data Engineer

Falls Church, VA · On-site

$122K - $146K/yr

Experience utilizing program and project management tools, such as Azure DevOps and GitHub, to plan ... Certifications for Databricks (Data Engineer Associate) Key Responsibilities * Configure and ...

Lawrence Harvey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

Academic or project experience building data pipelines or working with data transformation ... Data Engineer | Hybrid | Metropark, New Jersey

Delviom LLC

Lead Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Leverage GitHub as a code repository for version control and collaboration on data engineering projects. * Utilize GitHub CoPilot to enhance development efficiency and streamline coding processes.

New

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Data Engineer Project information

See salary details

$46K

$165K

$243.5K

How much do data engineer project jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data engineer project in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

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 strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.
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What states have the most Data Engineer Project jobs?

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What are popular job titles related to Data Engineer Project jobs?

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Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer

Austin, TX • On-site, Remote

Loxo
11 - 50 employees
Learn more about Loxoexternal

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

As an early hire to our engineering team, you will be responsible for managing Loxo’s data integration function. You will be primarily responsible for migrating new clients’ legacy data from their previous recruitment platform to Loxo and will work closely with the Customer Success team to deliver a positive onboarding experience for all new Loxo users. You will also be working on many data engineering projects across the data team, as we invest heavily in our data engineers to contribute and grow professionally to become incredible data engineers over time.


You will be tasked with managing the entire migration process from beginning to end, including defining strategies, developing repeatable and scalable solutions, and delivering world-class support. You will play an important role in setting the tone for our customers’ Loxo experience.


We’re looking for someone who can...

  • Work with data owners to understand legacy data, gather data requirements, and interpret and design solutions to meet those requirements
  • Produce detailed data mapping documents
  • Develop and implement tools, scripts, queries or applications for accessing, analyzing, converting and migrating data between databases or from csv files to databases
  • Reverse engineer data models from other vendors
  • Troubleshoot data quality issues and write scripts to cleanse data
  • Maintain the security, data integrity, and availability of data in production environments
  • Partner with the Customer Success team to proactively manage client expectations, communicate timelines, and solve customer database issues
  • Serve as the technical point of contact during the migration process

We might be a good match if you are...

  • Proficient in SQL
  • Proficient with ETL tools (e.g. Talend, Pentaho, CloverETL, SSIS, etc.)
  • Have attention to detail
  • Able to take take on tasks with little direction, and produce high-value deliverables in a fast-paced environment
  • Can drive a project from inception to completion
  • A self-starter with the ability to work independently and as part of a team
  • Have excellent communication, analytical, and problem-solving skills
  • Have a customer-centric attitude

Big plus, if you have...

  • A Bachelor’s in Computer Information Systems or similar field
  • 2+ years of related experience
  • Previous experience performing data migrations
  • Previous SaaS experience
  • Ruby on Rails experience



About Loxo


Loxo is the #1 Talent Intelligence Platform and global leader in Recruitment Software.  


  • We are technologists
  • We are innovators
  • We are changing hiring
  • We are helping people have a brighter future



Why join Loxo now?


Loxo has the potential to own an entire category and become one of the top enterprise software companies in the decade ahead.


Other great benefits: 


  • Flexible working environment and unlimited PTO
  • Progressive culture
  • 100% flexibility in living and working from anywhere you want
  • 100% remote --- work and live from anywhere
  • Healthcare --- best in class healthcare, dental, vision benefits offered
  • 401(k)
  • Above market compensation package and merit based financial awards