Data Engineer

Goodwin

. Build, test, and maintain data pipelines and data models using orchestration and transformation tools .

Posted 10/14/2026full-timeUnited StatesJuniorMid-Level💰 $92,900 - $139,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in building and maintaining data pipelines and models, with strong expertise in SQL and Python for data engineering. Experienced in ETL/ELT processes, cloud data platforms, and data governance practices.

Highest-signal resume keywords

Strong SQL SkillsPython for Data EngineeringCloud Data Platform ExperienceETL/ELT Tools FamiliarityData Modeling Concepts Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL/ELT ProcessesData Quality TroubleshootingData TransformationData ModelingSQLPythonGitMonitoring/ObservabilityError Handling

Soft Skills

Problem-Solving SkillsAttention to DetailCollaboration

Tools & Technologies

SnowflakeDatabricksBigQueryRedshiftDbtAirflowGit

Certifications & Qualifications

Bachelor's Degree in Computer Science or Related Field

Industry Keywords

Data EngineeringData GovernanceLaw Firm Application DatabasesAderant ExpertFoundationIManage

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact

Build, test, and maintain data pipelines and data models using orchestration and transformation tools
Move and transform data across source systems, warehouses, and analytics platforms
Support development and maintenance of ETL/ELT processes
Ensure data is accurate, timely, and reliable
Troubleshoot and resolve data quality issues
Collaborate with data engineers and product owners to implement data governance practices
Implement testable code, proper error handling, rerunnable jobs, and monitoring/observability
Document data pipelines, schemas, and processes
Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives
Use Git for all code changes

Requirements

What you’ll need

Bachelor's degree in Computer Science or a related field is preferred
2+ years of experience in a data engineering or related technical role
Strong SQL skills, including joins, aggregations, CTEs, and window functions
Experience with Python for data engineering, scripting, or automation tasks
Hands-on experience with at least one cloud data platform (e.g., Snowflake, Databricks, BigQuery, or Redshift)
Understanding of core data modeling concepts (fact tables, dimension tables, schema design)
Experience using Git or similar tools for source control
Strong problem-solving skills and attention to data accuracy and detail
Ability to work both independently and collaboratively across teams
Exposure to law firm application databases such as Aderant Expert, Foundation, or iManage a plus
Familiarity with ETL/ELT tools such as dbt, Airflow or similar transformation/orchestration frameworks
Familiarity with AI/LLM technologies as applied to data engineering

Benefits

Comp & perks

Health, dental, and vision insurance
Life and disability insurance
Retirement & Savings Plan
Emergency back-up child and adult care
Paid vacation, sick time off, and holidays
Professional development and career advancement opportunities
Employee recognition and reward programs
Employee wellness and assistance programs
Employee discounts and perks