Reports to: Head of Engineering or Director of Data Job Type: Full-Time Location: Remote Department: Engineering / Data Team Reports to: Head of Engineering or Director of Data Job Type: Full-Time About RiskScout RiskScout is a fast-growing SaaS company delivering a modern, intuitive platform that helps financial institutions fight money laundering and financial crime. We enable banks and credit unions to stay compliant, streamline onboarding, and perform enhanced due diligence with confidence and clarity. Overview We are seeking a Data Engineer to join our analytics and data science team focused on building and maintaining high-quality data pipelines across multiple data sources. The ideal candidate has experience working with file-based data exports from a variety of banking systemssuch as Jack Henry, Fiserv, FIS, Finastra, and CSIas representative examples of common financial data sources. This role centers around designing scalable pipelines, ensuring data quality, and transforming heterogeneous financial feeds into a consistent internal schema that supports AML, fraud analytics, and regulatory reporting. Key Responsibilities Design & Develop Pipelines: Build and maintain scalable ETL/ELT pipelines to ingest, normalize, and transform data from structured and semi-structured formats (CSV, XML, JSON, SFTP drops, etc.). Data Standardization: Translate diverse data feedsincluding those exported from banking systemsinto a unified schema used across AML, fraud, and customer risk analysis. Data Quality & Validation: Develop robust validation logic and monitoring tools to detect anomalies and ensure data integrity across ingestion layers. Vendor-Agnostic Integration: Map and ingest data from a wide variety of banking software vendors (e.g., Jack Henry, Fiserv, FIS, Finastra, CSI), with the understanding that these are common industry examplesnot requirements. Cross-Team Collaboration: Work with data scientists, product managers, and compliance experts to meet evolving analytical and regulatory needs. Serve as a technical liaison with clients, helping them structure their data exports, diagnose issues with feed delivery or formatting Pipeline Optimization: Tune pipeline performance, storage efficiency, and scalability across batch and streaming environments. Documentation & Compliance: Maintain clear, auditable documentation for data source mappings, transformations, and quality rules. Security First: Prioritize secure handling of sensitive financial and personally identifiable information using industry best practices. Required Qualifications 3+ years of experience as a Data Engineer or similar role working with large-scale data transformation pipelines. Strong proficiency in Python and SQL. Familiarity with ingesting file-based data formats (e.g., fixed-width, CSV, XML, JSON). Experience integrating data from banking systems or other financial applications (specific vendors are not required). Understanding of data modeling, schema design, and schema harmonization across diverse data feeds. Hands-on experience with data pipeline orchestration tools such as Airflow, dbt, Dagster, or similar. Experience with cloud platforms like GCP and/or AWS (S3, Lambda, Glue, RDS, etc.). A strong focus on data quality, integrity, and traceability in regulated environments. Bonus Experience Exposure to AML or fraud analytics pipelines. Experience working closely with data scientists or ML engineers. Familiarity with streaming data systems like Kafka or Kinesis. Previous work with financial institutions, fintechs, or regtech platforms. Experience with data warehousing tools like BigQuery, Redshift, or Snowflake. Why Join RiskScout? Play a critical role in building infrastructure that supports real-time fraud detection and financial crime prevention. Collaborate with a driven, talented team in a mission-focused startup environment. Enjoy remote work flexibility with a culture of ownership, transparency, and meaningful technical work. Solve novel data challenges at the intersection of compliance, regulation, and technology. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Referrals increase your chances of interviewing at RiskScout by 2x Sign in to set job alerts for Data Engineer roles. Austin, TX $100,000.00-$160,000.00 1 week ago Austin, TX $112,597.33-$152,810.66 5 days ago Austin, TX $155,250.00-$174,273.00 1 month ago Austin, TX $120,000.00-$140,000.00 3 weeks ago Austin, TX $128,600.00-$234,200.00 1 week ago Austin, TX $150,000.00-$200,000.00 2 weeks ago Austin, TX $139,100.00-$240,500.00 1 week ago Austin, TX $118,900.00-$205,600.00 1 week ago Austin, TX $173,000.00-$242,000.00 1 week ago Austin, TX $108,036.00-$135,044.00 1 week ago Austin, TX $140,000.00-$180,000.00 1 week ago Austin, TX $116,500.00-$180,500.00 1 day ago Austin, TX $139,100.00-$240,500.00 4 days ago Austin, TX $100,000.00-$150,000.00 1 month ago Austin, TX $90,000.00-$115,000.00 1 week ago Austin, TX $110,000.00-$124,968.00 1 week ago Software Engineer Intern, Cloud Platform and Analytics Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr