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Entry Level Startup Data Engineer Jobs (NOW HIRING)

Enterprise Platforms - Data & Analytics, Data Engineer I Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates ...

Enterprise Platforms - Data & Analytics, Data Engineer I Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates ...

$130K - $170K/yr

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your ... Bonus program and equity in a fast-growing startup * Competitive salary and stock options in a fast ...

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your ... Bonus program and equity in a fast-growing startup * Competitive salary and stock options in a fast ...

Entry Level Data Engineer

Dallas, TX

$113K - $136K/yr

Currently, we are looking for: * Entry-level software programmers * Java Full stack developers * Python/Java developers * Data analysts/Data scientists * Data visualization engineers * BI analysts

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Open Position - Data Engineer Horizon Surgical Systems Inc. Horizon Surgical Systems Inc. is ... This is an exciting opportunity to join a high-tech startup that is poised to revolutionize ...

Data Engineer

$117K - $140K/yr

Data Engineer Location: San Jose California 95002 Duration: 12 Months Job Type: Temporary ... Experience working in startup environments is a plus. Competencies (Attributes Necessary for ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Perpay is a certified B Corp and Philadelphia's most impactful growth-stage startup. We are driven ... Data Engineering, Data Science, and Strategic Analytics. Data Engineering owns the warehouse, the ...

Data Engineer (Entry Level)

Greensboro, NC

$99K - $118K/yr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

They are seeking a Data Engineer to develop systems and processes for data acquisition, preparation ... XAI is an artificial intelligence startup that develops AI solutions and tools to enhance reasoning ...

Data Engineer

$165K - $205K/yr

We are looking for a Data Engineer to join our data platform team and help us execute, automate ... You've worked in a rapidly scaling startup handling complex, multi-tenant B2B SaaS data. * You have ...

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Data Engineer

Provo, UT

$109K - $131K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Salary: $50,000 to $90,000 Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ...

Senior Data Engineer

San Francisco, CA · On-site

$226K - $254K/yr

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have ... We are looking for a Data Engineer or Analytics Engineer to join our Data team. You will ...

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Entry Level Startup Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do entry level startup data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for entry level startup 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 are some common challenges faced by entry level data engineers at startups, and how can they be addressed?

Entry level data engineers at startups often encounter challenges such as working with rapidly evolving tech stacks, limited documentation, and balancing multiple responsibilities due to smaller teams. Adapting quickly and proactively seeking clarification from team members is key. Building strong communication with software engineers, data scientists, and product managers helps ensure alignment on data requirements and project priorities. Taking initiative to document solutions and automate repetitive tasks can also improve efficiency and contribute to team success.

What does an Entry Level Startup Data Engineer do?

An Entry Level Startup Data Engineer is responsible for building and maintaining the data infrastructure that supports a startup's analytics and business operations. They typically work with databases, data pipelines, and cloud platforms to collect, process, and store data from various sources. Their tasks often include cleaning and transforming raw data, ensuring data quality, and assisting data analysts or scientists by providing them with reliable datasets. Because startups often have smaller teams, entry-level data engineers may also take on a variety of technical tasks and collaborate closely with software engineers and product managers. This role is ideal for those looking to gain broad experience in data engineering within a fast-paced, innovative environment.

What are the key skills and qualifications needed to thrive as an Entry Level Startup Data Engineer, and why are they important?

To thrive as an Entry Level Startup Data Engineer, you need a solid understanding of programming languages like Python or SQL, data modeling, and a relevant degree such as computer science or engineering. Familiarity with data pipelines, cloud platforms (e.g., AWS, Google Cloud), and tools like Apache Spark or ETL systems is typically required. Strong problem-solving abilities, adaptability, and effective communication skills help you excel in a fast-paced, evolving environment. These competencies are crucial for building reliable data solutions and collaborating well within lean startup teams.

What is the difference between Entry Level Startup Data Engineer vs Data Analyst?

AspectEntry Level Startup Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL, Python, or Spark knowledgeBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentStartups, fast-paced, collaborative, technical focus on data pipelines and infrastructureVarious industries, focus on data interpretation, reporting, and business insights
Employer & Industry UsageTech startups, SaaS companies, e-commerceFinance, marketing, healthcare, retail

Entry Level Startup Data Engineers focus on building data infrastructure and pipelines, requiring technical skills like SQL and Python. Data Analysts interpret data to generate insights, often using visualization tools. While both roles work with data, engineers develop the systems, and analysts analyze data for decision-making.

More about Entry Level Startup Data Engineer jobs
What cities are hiring for Entry Level Startup Data Engineer jobs? Cities with the most Entry Level Startup Data Engineer job openings:
What are the most commonly searched types of Startup Data Engineer jobs? The most popular types of Startup Data Engineer jobs are:
What states have the most Entry Level Startup Data Engineer jobs? States with the most job openings for Entry Level Startup Data Engineer jobs include:
Infographic showing various Entry Level Startup Data Engineer job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 93% Full Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Entry Level Data Engineer

$67K - $100K/yr

Full-time

PTO

Posted 11 days ago


Cox Automotive rating

7.8

Company rating: 7.8 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

88th of 138 rated financial services


Job description

Enterprise Platforms - Data & Analytics, Data Engineer I
Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates or early-career professionals who are eager to build, maintain, and improve data solutions that impact all of Cox Automotive. You will work alongside experienced engineers who will mentor you as you grow your skills in data pipeline development, data discovery, definition alignment, mapping, profiling, and auditing. A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you should already be using tools like Claude Code, GitHub Copilot, or similar AI assistants to write, review, and ship code faster.
Responsibilities
  • Collaborate with data architects, data analysts, visualization developers, other data engineers, and business stakeholders to build and maintain data assets in a cloud-computing environment
  • Learn and apply techniques to improve data dependability and quality, and reduce manual effort through automation
  • Help investigate, communicate, and resolve data integrity issues that may impact business performance
  • Assist in developing and maintaining data assets by analyzing data from internal and external sources and making newly created data assets available across Cox Automotive
  • Participate in team activities within an Agile environment, including design discussions, code reviews, implementation, delivery estimates, and production support
  • Ensure data follows all information privacy and protection policies
  • Use AI-powered coding assistants such as GitHub Copilot and Claude Code daily to accelerate development, improve code quality, and streamline peer review workflows
  • Apply spec-driven development practices, using AI tools to translate specifications into well-structured, testable code
  • Gain exposure to cloud-native AI Services (e.g., Snowflake Cortex, AWS Bedrock/AgentCore) and contribute to efforts that enhance data pipelines and enable intelligent data processing
  • Follow responsible AI practices within the team, including prompt engineering, AI output validation, and governance of AI-generated code

Required Skills and Qualifications
  • Bachelor's degree in computer science, information systems, statistics, or a related analytical field
  • Up to one year of professional, contract, or internship experience in data engineering (new graduates welcome)
  • Solid SQL skills with an understanding of relational database concepts and the ability to write and troubleshoot queries
  • Foundational Python programming skills, whether gained through coursework, personal projects, or early professional experience
  • Demonstrated experience using AI-powered developer tools (e.g., GitHub Copilot, Claude Code, ChatGPT, or similar) for code generation, completion, or review in any setting-full-time role, internship, or college coursework
  • Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus
  • General awareness of data platform and data warehouse concepts
  • Strong critical thinking, analytical, and problem-solving skills
  • Eagerness to learn from and be mentored by a collaborative, experienced engineering team
  • Ability to work both independently and as part of a team in a fast-paced environment

Preferred Skills and Qualifications
  • Exposure to or interest in spec-driven development workflows where AI tools are used to translate requirements into code
  • Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly detection
  • Awareness of AWS Bedrock, AWS AgentCore, or other cloud-based AI services
  • Entry-level cloud or data certifications such as AWS Cloud Practitioner, Snowflake SnowPro Core, or equivalent
  • Any AI-related certifications from Snowflake, AWS, or other recognized providers
  • Experience with version control systems (e.g., Git/GitHub) and CI/CD fundamentals
  • Experience working in or familiarity with Agile/Scrum methodologies

USD 67,100.00 - 100,700.00 per year
Compensation:
Compensation includes a base salary in the range of $67,100.00 - $100,700.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
EOE, including disability/vets

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US