ZipRecruiter

Log In

1

Entry Data Engineer Jobs (NOW HIRING)

Gibson Dunn

Senior Data Engineer

Los Angeles, CA · On-site

$114K - $155K/yr

Based in the US, the Senior Data Engineer will be responsible for designing, building, and ... Aderant Expert Sierra, Chrome River, Time Entry * HR: PeopleSoft, Workday * Enterprise data lake ...

Realtor.com Careers

Principal Data Engineer

Austin, TX · On-site

Join us on our mission to empower more people to find their way home by breaking barriers to entry ... We have an exciting opportunity for a motivated and energetic Principal Data Engineer to shape and ...

Inland Engineering

Data Entry Clerk

Corona, CA · On-site

$17.50 - $23.50/hr

About the Job The data entry clerk communicates with Billing Management to discuss billing content ... Inland Engineering Services, Inc. strives to hire, recruit, and promote associates without regard ...

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Programming languages such as Python(inclusive of libraries that are used in data science e.g ... Establishing and integrating large datasets, data entry , data conditioning and cleaning, data ...

General Motors

Senior Data Engineer

Austin, TX · On-site

$125K - $168K/yr

The Role We are looking for a hands-on Senior Data Engineer to help build the data products that ... THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A ...

General Motors

Senior Data Engineer

Austin, TX · On-site

$125K - $168K/yr

The Role We are looking for a hands-on Senior Data Engineer to help build the data products that ... THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A ...

Inland Engineering Services

Data Entry Clerk

Corona, CA · On-site

$39K - $52K/yr

The data entry clerk communicates with Billing Management to discuss billing content and issues ... Inland Engineering Services, Inc. strives to hire, recruit, and promote associates without regard ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL · On-site

$85K - $110K/yr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

Workforce Capital

SAP Data Entry

Washington, GA · On-site

$20 - $22/hr

Job Details: A recent college grad in Engineering would be great or someone that's just getting into the field. We want a strong candidate not just a data entry clerk. Pay would be $20/hour but we ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL

$16.50 - $21.50/hr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

Insolation Technology Ltd

Data Entry Clerk

Dallas, TX · On-site

$18 - $25/hr

About the job Data Entry Clerk Insolation Technology LTD is a premier provider of Civil engineering company, delivering innovative solutions to meet the diverse needs of our clients. We are seeking a ...

SteerBridge

Senior Data Engineer

Vienna, VA

$135K - $160K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Programming and Software Engineering * Strong proficiency in Python and SQL for data processing ...

SteerBridge

Senior Data Engineer

Vienna, VA · On-site

$135K - $160K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Programming and Software Engineering * Strong proficiency in Python and SQL for data processing ...

previous page

Showing results 41-60

All JobsEntry Data Engineer Jobs

Entry Data Engineer information

See salary details

$11

$19

$28

How much do entry data engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for entry data engineer in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What does an entry data engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.

What are the key skills and qualifications needed to thrive as an entry data engineer?

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

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

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

More about Entry Data Engineer jobs

What cities are hiring for Entry Data Engineer jobs?

Cities with the most Entry Data Engineer job openings:

What states have the most Entry Data Engineer jobs?

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

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

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

Entry Data Engineer jobs near you
Infographic showing various Entry Data Engineer 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 $40,504 per year, or $19.5 per hour.

Senior Data Engineer

Los Angeles, CA • On-site

Gibson Dunn
See more jobs at Gibson Dunnexternal

$114K - $155K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 12 days ago

Key responsibilities

  • Design, build, and maintain scalable data lakes, warehouses, and data pipelines to consolidate and process data from diverse enterprise sources.

  • Develop and automate ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data, ensuring data quality and freshness.

  • Collaborate with data scientists and ML practitioners to prepare, curate, and serve high-quality datasets for AI/ML workflows.

Job description

Gibson Dunn is a leading global law firm, advising clients on significant transactions and disputes. Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm's work is distinguished by a unique combination of precision and vision.
Based in the US, the Senior Data Engineer will be responsible for designing, building, and operating the data platforms that power enterprise reporting, analytics, and artificial intelligence across the firm. The role spans the full data lifecycle: ingesting data from diverse operational systems, curating it within scalable data lakes and warehouses, and delivering high-quality, model-ready datasets to analysts, data scientists, and AI/ML workflows. This role blends hands-on data platform engineering with database and reporting expertise.
This role reports to the Director, Product & Engineering.
Primary applications and platforms include:
  • Document Management: iManage (cloud), SPM, Litera CAM
  • Finance: Aderant Expert Sierra, Chrome River, Time Entry
  • HR: PeopleSoft, Workday
  • Enterprise data lake, data warehouse, and analytics platforms

Responsibilities include:
Data Platform, Data Lake & Pipeline Engineering
  • Design, build, and maintain scalable data lakes, warehouses, and lakehouse environments (on-premises and/or cloud) to consolidate data from diverse enterprise sources.
  • Develop and orchestrate reliable, automated ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data.
  • Implement layered data architectures (e.g., raw / curated / consumption or bronze / silver / gold layers) that support reuse across reporting, analytics, and AI workloads.
  • Monitor and maintain pipelines proactively to ensure high availability, timeliness, and data freshness.
  • Apply data quality, validation, and error-handling practices to ensure accuracy, completeness, and consistency.
  • Establish and maintain data lineage, cataloging, and metadata to support governance and traceability.

Data for AI / Machine Learning
  • Collaborate with data scientists and ML practitioners to curate, prepare, and serve high-quality datasets for model training, fine-tuning, and inference.
  • Build and maintain pipelines that transform raw enterprise data into clean, model-ready datasets.
  • Support feature engineering, feature stores, and reusable data products for AI/ML use cases.
  • Enable AI-oriented data patterns such as embedding pipelines and retrieval-augmented workflows, and support integration with vector stores where appropriate.
  • Partner with engineering teams to operationalize data workflows that keep models supplied with reliable, well-governed data.

Database Administration & Operational Support
  • Administer, monitor, and maintain relational database environments (on-premises and/or cloud).
  • Perform and automate routine operations, including:
    • Backups and restores (full, differential, and log).
    • Integrity checks and consistency validation.
    • Index maintenance and statistics updates.
  • Monitor and troubleshoot performance issues, including CPU, memory, and I/O bottlenecks, as well as blocking, deadlocks, and long-running queries.
  • Implement performance tuning strategies such as query optimization, execution plan analysis, and index design and review.
  • Manage database availability and resilience, including high availability, clustering, and disaster recovery planning and validation.
  • Coordinate patching, upgrades, and service releases.
  • Ensure security and compliance through access controls, permissions, encryption, auditing, and vulnerability mitigation.
  • Support scheduled jobs, ETL processes, and automated data workflows.

Query & Data Performance Optimization
  • Write efficient queries and transformations for reporting and analytical workloads.
  • Reduce dataset size and improve refresh and processing performance.
  • Understand and optimize the impact of joins, filters, and aggregations across large datasets.

Analytics & Reporting
  • Translate business questions into queries, metrics, and visualizations.
  • Develop, maintain, and optimize dashboards and reports using leading BI tools (e.g., Tableau, Power BI, or comparable platforms).
  • Design semantic models and data sources for reporting, including fact/dimension modeling (star and snowflake schemas), data shaping, and transformation.
  • Optimize report performance through query tuning and data model optimization (aggregations and relationships).

Collaboration & Leadership
  • Participate actively in group and cross-functional meetings.
  • Deliver clear, coherent report-outs to senior management.
  • Work with interdepartmental groups to innovate and improve the firm's data capabilities.
  • Mentor and train data engineers on the data platform and its business applications.

Qualifications:
  • Strong analytical and problem-solving skills, with a track record of owning systems end-to-end.
  • Ability to work independently and manage competing priorities in operational environments.
  • Effective communication with both technical and business teams.
  • Proven ability to collaborate across departments to identify and drive improvements.

Experience:
  • 10+ years of experience building and supporting enterprise data platforms, pipelines, and application databases.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
  • Experience managing business-critical data systems in a global environment.
  • Proficiency with SQL and at least one programming/scripting language commonly used in data engineering (e.g., Python).
  • Hands-on experience with data warehousing, data lakes, or lakehouse architectures.
  • Experience building ETL/ELT pipelines and working with data orchestration tools.
  • Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud, Snowflake, Databricks, or comparable).
  • Experience preparing and serving data for AI/ML model training, fine-tuning, or inference.
  • Familiarity with distributed data processing frameworks (e.g., Apache Spark).
  • Familiarity with pipeline orchestration tools (e.g., Apache Airflow or similar).
  • Familiarity with ML and AI concepts, including feature stores, vector databases, and embedding/RAG pipelines.
  • Familiarity with automation and scripting (e.g., Python, PowerShell, or Bash).
  • Exposure to DevOps, MLOps, or CI/CD practices for data or BI deployments.

Gibson Dunn will consider for employment qualified Applicants with Criminal Histories in a manner consistent with the requirements of local law.
Compensation & Benefits:
The annual compensation range for this position is $150,000 - $200,000. The salary offered within this range will depend upon qualifications and other operational considerations.
Benefits offered for this position include health care; retirement benefits; paid days off, including sick time, and vacation time; parental leave; basic life insurance; Flexible Spending Accounts; as well as discretionary, performance-based bonuses.
For technical difficulties with our online application, please contact us at staffrecruiting@gibsondunn.com. Our recruiting support team will respond as soon as possible.
Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities. We strive to ensure an inclusive and accessible hiring experience. The Firm will provide reasonable accommodations to qualified individuals with disabilities to enable participation in the application and recruitment process, unless doing so would impose an undue hardship, in accordance with applicable laws and regulations.
If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at recruiting-accommodations@gibsondunn.com. Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process. Inquiries about the status of an application or other non-accommodation matter will not receive a response.

Apply