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Data Engineer 1 Jobs (NOW HIRING)

Data Engineer 1

San Jose, CA

$55.21 - $69.01/hr

Description Data Engineer 1 Full-time San Jose, CA, US You'll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You'll Love NextDeavor offers health, vision and dental ...

Data Engineer 1

San Jose, CA · On-site

$55.21 - $69.01/hr

Data Engineer 1 Full-time San Jose, CA, US You'll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You'll Love NextDeavor offers health, vision and dental benefits for ...

Data Engineer 1

The Woodlands, TX

$104K - $125K/yr

Data Engineer Department: Data Engineer Job Status: Full Time FLSA Status: Exempt Reports To ... Experience working with one of the following languages: Python, R, Java * Demonstrated ability to ...

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

Data Engineer I (Rhode Island) Hybrid Freedman HealthCare LLC (FHC) is a growing Massachusetts-based consulting firm with a national footprint. We have helped more than 25 states build and use health ...

Data Engineer 1

San Jose, CA · On-site

$134K - $161K/yr

VARITE INC is seeking a Data Engineer to support Adobe's Growth Monetization initiatives. The role involves designing, building, and maintaining scalable data pipelines, writing complex SQL queries ...

Data Engineer-1 Duration: 07 Months + Possible extension Location: Iselin, NJ & Charlotte, NC (Hybrid) Client: Financial Services Responsibilities: Develop ETL frameworks and tools Design and ...

$109K - $130K/yr

Data Engineer The candidate must be committed to move to St ... Louis and live here 100% from day 1. Work location Onsite Work onsite at either location * St.

Senior Data Engineer 1

Boca Raton, FL

$100K - $136K/yr

You are a gifted Data Engineer; passionate about technology in healthcare IT. * You are a ... After one year of employment with ModMed, 100% of any matching contribution you receive is yours to ...

Associate Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Associate Data Engineer 1-2 years of industry experience in data engineering, data analysis, analytics engineering, or related data roles. * Strong knowledge of SQL and Python for data transformation ...

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for 4+ months, with option of extension, and will be worked 100% on-site in Raleigh, NC. If you are ...

Data Architect

Dallas, TX

$63.25 - $81.50/hr

Data Engineer - 1 Experienced Data engineers with strong hands-on expertise in building and supporting scalable ETL and ELT pipelines for banking and financial services clients. Their experience ...

Staff Data Engineer

New York, NY · On-site

$200K - $300K/yr

You'll own everything data-related at Artisan. * Design, build, and maintain scalable data ... Introductory chat with our recruiter * 1 hour technical interview with an engineer * 1 hour ...

Data Engineer

Los Angeles, CA · On-site

$60/hr

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire Long Term Contract Rate $60/hr. on W2 * Serve as developer of key DTC analytical models like ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Must have at least 1 year of experience with Data Engineering (building data pipelines) OR ETL Development experience, as data engineering is the focus of this role * Must have strong SQL experience

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Showing results 1-20

Data Engineer 1 information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer 1 jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data engineer 1 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 the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

What is a Data Engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are some common challenges faced by entry-level Data Engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What are the key skills and qualifications needed to thrive as a Data Engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.
More about Data Engineer 1 jobs
What cities are hiring for Data Engineer 1 jobs? Cities with the most Data Engineer 1 job openings:
What states have the most Data Engineer 1 jobs? States with the most job openings for Data Engineer 1 jobs include:
Infographic showing various Data Engineer 1 job openings in the United States as of May 2026, with employment types broken down into 4% Locum Tenens, 52% Full Time, and 44% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer 1

$55.21 - $69.01/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago


Job description

Description
Data Engineer 1
Full-time
San Jose, CA, US
You'll be joining Adobe on a contract opportunity, employed through NextDeavor
Benefits You'll Love
NextDeavor offers health, vision and dental benefits for contract employees Paid sick leave eligibility is contingent on state of residence Optional 401k Plan (excludes employer match) Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment
Become a Key Player as a Data Engineer 1
You will design and maintain scalable data pipelines that enable growth and monetization initiatives for the client. You will partner with Data Science, Product, Marketing, and Engineering stakeholders to deliver actionable insights and reliable data infrastructure. This is an onsite role in San Jose, CA, supporting a time-limited engagement from June to November.
Here's How You'll Make an Impact on the Team
  • Design, build, optimize, and maintain scalable data pipelines to support growth and monetization efforts
  • Write and optimize complex SQL queries to analyze A/B experiment results and other large datasets
  • Develop and enhance ETL/ELT workflows for large-scale structured and unstructured data
  • Optimize pipeline performance, reliability, scalability, and data quality across distributed systems
  • Implement automated monitoring, alerting, and validation frameworks for pipeline health and data integrity
  • Collaborate with Data Science, Product, Marketing, and Engineering teams to deliver scalable data solutions
Here's What You'll Need to Be Successful in This Role
  • Minimum 5 years of relevant experience
  • Strong SQL expertise with the ability to write and optimize complex queries on large datasets
  • Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks
  • Experience building and optimizing scalable data pipelines in cloud or enterprise environments
  • Proficiency in ETL orchestration and workflow management tools
  • Experience with data quality, pipeline monitoring, and performance tuning
  • Ability to collaborate effectively with technical and non-technical stakeholders in a fast-paced environment
Pay Range
$55.21 - $69.01/hour
Ready to Make Your Mark?
This role may fill quickly. Submit your resume to be considered.
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Pay Range
$55.21 Hourly to $69.01 Hourly