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Filevine · 2 weeks ago

Forward Deployed Data Engineer

Salt Lake City, UT

Full-time

Hybrid

Mid Level

Filevine is forging the future of legal work with cloud-based workflow tools. As a Forward Deployed Data Engineer, you will be a customer-facing expert focused on integrating and ingesting data from diverse client sources into our platform.

Artificial Intelligence (AI)Document ManagementLegal TechProject ManagementSaaSSoftware

Responsibilities

Design and build custom data ingestion pipelines to connect client data sources—no matter how disparate, legacy, or unconventional—to Filevine

Collaborate with clients to assess their data landscapes, identify ingestion opportunities, and implement secure, reliable ETL (Extract, Transform, Load) processes

Handle a wide variety of data formats and sources (e.g., databases, APIs, flat files, spreadsheets, legacy systems) with a focus on data quality, validation, and transformation

Ensure compliance with data privacy and security standards critical to the legal industry (e.g., handling sensitive client information)

Troubleshoot and optimize data flows in production environments, resolving issues related to connectivity, volume, or schema mismatches

Provide technical guidance and training to clients on data integration best practices during and after implementation

Document pipelines, mappings, and custom solutions while feeding client insights back to the product and engineering teams for platform improvements

Perform onsite engagements as needed to accelerate integrations and drive adoption

Qualification

Data EngineeringETL ProcessesData Pipeline DevelopmentPythonSQLApache SparkAirflowData SecurityClient EngagementData TransformationData QualityProblem-SolvingCommunication Skills

Required

Proven experience as a Data Engineer, ETL Developer, or in customer-facing integration roles (e.g., solutions engineering or professional services)

Strong proficiency in building data pipelines using tools like Python, SQL, Apache Spark, Airflow, or similar

Expertise in connecting to diverse data sources: relational databases (e.g., MySQL, PostgreSQL, SQL Server), NoSQL, APIs (REST/SOAP), file-based systems, and cloud storage

Experience with data transformation, cleansing, and handling unstructured or 'messy' data

Knowledge of data security best practices, especially in regulated industries (e.g., encryption, access controls, compliance with HIPAA or similar)

Excellent problem-solving skills with the ability to improvise solutions for non-standard data challenges

Strong communication skills to translate technical details for non-technical stakeholders (e.g., firm administrators and attorneys)

Willingness and ability to travel extensively to client sites nationwide

Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience