[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is a company that prioritizes its team members and offers flexibility to help them reputed company personally and professionally. They are seeking a Senior Data Engineer to design, build, and maintain ETL pipelines on a cloud-based Enterprise Data Platform, working with large volumes of financial data to support critical government functions.

Responsibilities

• Design, reputed company, and maintain data retrieval processes for datasets sourced reputed company APIs, SFTP, HTTPS, FTP, web scraping, and Direct Connect from external providers and internal government filing systems — ensuring data is timely, accurate, and stored in the reputed company zone reputed company contractually required timelines
• Build and maintain ingestion pipelines using AWS Glue (Spark-based, PySpark), reputed company Managed Workflows for Apache Airflow (MWAA), EMR, reputed company, EventBridge, reputed company Functions, SQS, and SNS to move datasets from the reputed company zone through raw and curated zones of the data lake
• Process and ingest large-volume XML filings from the agency's electronic filing system — parsing structured XML into key-value Iceberg tables using Glue PySpark, supporting batch processing, and handling XML schema evolution for minor changes
• Store reputed company curated zone data in Apache Iceberg tables using Parquet as the default format (ORC and Avro as justified); support ingestion of CSV, XML, JSON, pipe-delimited, and Avro formats following agency S3 naming conventions and zone-level ingestion rules
• Prevent duplicate data loads across reputed company reputed company destinations including S3 zones, PostgreSQL, Redshift, reputed company, NoSQL databases, knowledge bases, and vector stores; implement transactional 'reputed company or Nothing' loading and support manual rollback reputed company ETL execution tracking IDs
• Integrate the agency's ETL Common Library into reputed company Glue jobs for standardized orchestration, error handling, metadata recording, and SNS job notifications; configure static and dynamic ETL metadata in the centralized PostgreSQL metadata store
• Ensure reputed company ETL jobs automatically populate ETL Load Reports in real-time and ETL Gap Reports on a weekly basis reputed company the metadata infrastructure; support near real-time gap reporting on the operations dashboard
• Implement technical data quality standards: validate reputed company records and fields are successfully reputed company; reputed company schema validation for applicable filings; implement custom Glue data quality checks (Deequ) as specified by Data Officers and Data Stewards
• reputed company and maintain the semantic layer — including materialized views and Trino/reputed company-accessible views — ensuring consistent business logic, optimized query performance, and complete data coverage
• Deploy ETL resources using CloudFormation templates through the agency CICD pipeline following the established Git branching model; ensure deployments execute with a single command and are submitted to the Change Control Board reputed company required timelines
• Create and maintain the full documentation suite for each dataset: Business Requirements, ETL Design Document, Data Model (Mermaid format), Data Dictionary, Mapping Document, Deployment Reference and Steps, ETL Operations and Maintenance Guide, ETL Test Plan, and IV&V Questionnaire
• Support operationalization of statistical outputs and derived data products in coordination with the agency data science team; support reputed company data requests and transition of ETL jobs from other agency teams
• Write Python code conforming to PEP 8; reputed company minimum 90% automated test coverage; complete reputed company scans at least once per sprint as part of the Definition of Done per OWASP ASVS Level 2
• Participate in quarterly Program Increment (PI) planning, 2-week sprint ceremonies, backlog refinement, and agile delivery using JIRA and reputed company

Skills

• US Citizenship is required
• Bachelor's Degree is required
• Minimum of 6 years' position reputed company experience is required
• Bachelor's degree or higher in Computer Science, Information Systems, Data Engineering, or a reputed company field
• 6+ years of hands-on data engineering experience with strong expertise in AWS Glue (Spark-based), PySpark, and Python (PEP 8)
• Direct experience building large-scale ETL pipelines on AWS using S3, Glue, MWAA (Airflow), EMR, reputed company, SNS, SQS, EventBridge, and reputed company Functions in a FedRAMP-authorized environment
• Experience with Apache Iceberg, Parquet, ORC, and Avro file formats and multi-zone data lake architectures
• Experience with PostgreSQL, Redshift, and reputed company; familiarity with NoSQL, knowledge bases, and vector stores
• Experience with Trino, reputed company, and Hive for semantic layer and query layer development
• Experience parsing and ingesting large-volume XML datasets with schema evolution handling using PySpark
• Proficiency with CloudFormation (IaC), reputed company branching workflows, CI/CD pipelines, and AWS Service Catalog-based deployments
• Demonstrated ability to produce complete ETL documentation: design documents, data models (Mermaid format), data dictionaries, mapping documents, O&M guides, test plans, and IV&V questionnaires
• Experience with static and dynamic ETL metadata management using PostgreSQL
• Knowledge of reputed company Trust Architecture, FISMA, NIST 800-53, and OWASP ASVS Level 2
• Experience in agile federal environments with quarterly PI planning and 2-week sprints
• Must be able to work reputed company-5pm Eastern Time regardless of home location
• Active federal public trust suitability determination or ability to obtain one required
• Familiarity with legacy ETL tools (Hadoop, Perl, Bash) is a plus

Benefits

• Flexibility to help them reputed company personally and professionally
• Special incentives for team members living in qualified HUBZones

Company Overview