Data Engineer

Data Engineer

Implements small features and resolves common data-related bugs from a prioritized team backlog, under direction from technical lead, manager, or product owner.

Develops individual, well-defined components of larger, more complex data solutions.

Investigate data quality issues reported by customers, peers, and other departments.

Creates or maintains non-critical data support tools to improve reliability and efficiency.

Modifies, debugs, and maintains data pipelines and ETL processes.

Thoroughly tests new and existing data features and pipelines.

Provides documentation for data processes and tools.

Creates automated tests for new and existing data components.

Integrates data solutions with those developed by other engineers.

Works closely with technical leads and other engineers to develop technical designs for data solutions.

Gains concrete understanding of assigned tasks and corresponding areas of code/data.

Accesses and updates existing code bases and data repositories using version control systems.

Manages work assignments via an issue tracking system.

Participates in code and data pipeline reviews.

Attends department and product team meetings to obtain and communicate relevant information.

Follows processes, procedures, and standards as defined by the team, department, company, or regulatory agencies (e.g., data governance, privacy regulations).

Implements features and resolves data bugs independently from a prioritized backlog.

Researches and contributes technical solutions for data engineering challenges.

Works closely with product and engineering teams to provide input on overall data architecture and product design.

Creates or maintains support tools critical to data reliability and efficiency.

Provides technical assistance to software, hardware, QA, and manufacturing teams regarding data integration.

Demonstrates completed data engineering work to stakeholders (e.g., sprint demos).

Breaks down complex tasks into simpler components.

Architects data solutions for changing requirements.

Packages and distributes data tools for use in QA and production environments.

Contributes to code and data pipeline reviews; communicates issues identified in merge requests.

Expands knowledge of recent developments in data engineering and AI.

Supplies technical feedback to evaluate feasibility of product definitions.

Initiates and maintains communications with stakeholders to establish and clarify data requirements.

Coordinates with software, hardware, and firmware engineers to ensure data compatibility.

Maintains strong relationships with frequent collaborators.

Skills & Qualifications

Required:

Capable of solving data engineering problems.

General knowledge of computer systems, programming, and data management, with continual improvement.

Ability to work well in a team environment.

Strong attention to detail.

Ability to communicate status and ask for help.

B.A./B.S. in Computer Science, Data Science, Engineering, or equivalent degree/work experience.

3/5+ years of professional experience in data engineering or related field.

Preferred:

Applicable programming languages (e.g., Python, PyTorch, SQL, Scala)

Data engineering tools and frameworks (e.g., Spark, Airflow, Kafka, Snowflake)

Git

Issue tracking systems (e.g., Jira)

Command-line interfaces and tools

Pay and Benefits

The pay range for this position is $115000.00 - $130000.00/yr.

Company BenefitsPaid Time OffBereavement LeaveCompany-paid Short-Term and Long-Term DisabilityESOP

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Oct 21, 2025.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.