Job Title: Data Engineer

Company Name: Wisepath Financial Group

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/wg4xaj6n5t8jzdul

Job Description: Posted 5d agoData Engineer@ Wisepath Financial GroupView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:Design pipelines, Build inference, Create workflowsRequirements Summary:Strong SQL, Python, cloud platforms (AWS/GCP/Azure), data modeling, data governance, and geospatial data experience.Technical Tools Mentioned:SQL, Python, AWS, GCP, Azure, Snowflake, BigQuery, Redshift, dbt, Airflow, Dagster, Spark
Job Title: Data Engineer – MVA Inference & Audience Development (Remote)Company: Liberty Legal NetworkLocation: Remote (Global)Job Type: Full-TimeAbout Liberty Legal NetworkLiberty Legal Network is a legal technology platform that uses AI-powered matching to connect individuals with specialized law firms nationwide. Our mission is to simplify access to legal representation while improving outcomes through intelligent data, precision matching, and scalable technology.About the RoleWe’re looking for a Data Engineer to design and build scalable, privacy-first data systems that power audience development and marketing intelligence.In this role, you’ll develop reliable data pipelines and inference systems using aggregated, historical data—ensuring all infrastructure meets strict compliance and governance standards. You’ll collaborate closely with Growth and Compliance teams to deliver high-quality, actionable insights.What You’ll DoDesign, build, and maintain ETL/ELT data pipelinesDevelop reusable inference layers for audience modelingCreate standardized, audit-ready segmentation workflowsImplement data governance practices (lineage, validation, logging)Perform geospatial aggregation (ZIP, county, corridor-level data)Partner with Growth and Compliance teams to support data-driven initiativesWhat Success Looks Like (First 60–90 Days)Production-ready, monitored data pipelinesEstablished and governed inference layer libraryConsistent, scalable segmentation workflowsMeasurable improvements in audience targeting performanceWhat You BringStrong SQL skills and experience with data modelingProficiency in PythonExperience with cloud platforms (AWS, GCP, or Azure)Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift)Experience implementing data governance and quality controlsExperience working with aggregated or geospatial datasetsCompliance & Data StandardsWork exclusively with aggregated, historical datasets (45+ days old)No use of real-time or individual-level dataApply best practices in data privacy, governance, and auditabilityUnderstand the distinction between inferred insights and direct knowledgeSupport vendor compliance and data audit processesNice to HaveExperience with marketing or audience segmentation systemsFamiliarity with privacy frameworks (CCPA, GDPR, TCPA)Experience with tools such as dbt, Airflow, Dagster, or SparkCompensationCompensation is competitive and based on experience, skills, and location.Why Join UsWork on impactful technology that improves access to legal servicesBuild privacy-first data systems in a rapidly evolving spaceCollaborate with cross-functional teams in a fully remote environmentOpportunity to shape scalable data infrastructure from the ground up