
501 - 1000 employees
đź’Ľ Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Seneca Holdings is the investment arm of the Seneca Nation, dedicated to building a portfolio of profitable businesses that promote long-term income and self-sufficiency for the Nation. The organization focuses on diversifying revenue streams through a variety of sectors, including federal government contracting, environmental solutions, and health-related services. By investing in sustainable opportunities, Seneca Holdings aims to support the economic growth of the Seneca community while honoring its mission of serving future generations.
🔥 8 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
đź’Ľ Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Seneca Holdings is the investment arm of the Seneca Nation, dedicated to building a portfolio of profitable businesses that promote long-term income and self-sufficiency for the Nation. The organization focuses on diversifying revenue streams through a variety of sectors, including federal government contracting, environmental solutions, and health-related services. By investing in sustainable opportunities, Seneca Holdings aims to support the economic growth of the Seneca community while honoring its mission of serving future generations.
• Design, build, and maintain scalable data pipelines within a Databricks E2 environment hosted on AWS • Analyze and collect data from relational databases, APIs, external data providers, and real-time streaming sources • Design and implement pipelines to cleanse, transform, and aggregate data for reporting and analytics • Build and maintain Databricks medallion architecture using Bronze, Silver, and Gold layers • Develop source-to-target mapping documentation and conduct unit testing • Write advanced SQL aggregations and analyze data for anomalies, quality issues, and inconsistencies • Implement real-time and near-real-time ingestion using AWS DMS and other AWS-native services • Develop data-processing logic using Python and/or R with Spark, PySpark, and Pandas • Manage source code, versioning, and deployments using GitLab and CI/CD pipelines • Collaborate with cross-functional teams in an Agile project environment • Ensure alignment with FISMA High and multi-tenant security, governance, and compliance requirements • Leverage AI automation tools for pipeline development, testing, validation, and delivery
• Proven, hands-on experience as a Data Engineer or Databricks Developer building production-grade data pipelines • Strong working knowledge of Databricks on AWS, including E2 architecture, cluster configuration, job orchestration, and workspace management • Hands-on experience with Apache Spark, PySpark, and Pandas for large-scale, distributed data processing • Solid programming skills in Python; working knowledge of R is a plus • Experience with Databricks Auto Loader for scalable, incremental file ingestion • Practical experience with AWS Database Migration Service (DMS) for change data capture and real-time data replication • Strong experience with Delta Lake and Delta tables, including schema evolution, time travel, OPTIMIZE, Z-ORDER, and VACUUM • Experience with Amazon RDS and other relational database sources used in data extraction and integration workflows • Advanced SQL skills, including complex joins, window functions, aggregations, and performance tuning • Solid understanding of medallion architecture and modern data lakehouse design principles • Experience with GitLab and CI/CD pipelines for automated testing, build, and deployment of data engineering code • Experience working in Agile/Scrum project environments
• Competitive pay • Medical, dental, vision, life, and disability benefits • Voluntary critical illness, hospital, and accident benefits • Health savings and flexible spending accounts • Retirement 401K plan • Paid leave programs • Flexible work-life balance • Professional development opportunities • Performance and recognition programs • Collaborative work environment • Financial and non-financial benefits for Seneca Nation members
Apply Now🔥 1 hour ago
Managing Engineer leading scalable data solutions, pipelines, and engineering teams at Allstate, an insurance and protection company. Driving secure, reliable data products and platform modernization.
🇺🇸 United States – Remote
đź’µ $120k - $193.7k / year
đź’° Post-IPO Equity on 2014-01
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
🔥 21 hours ago
Senior AI/ML/Data Engineer developing ML, NLP, LLM, and RAG solutions for QAVION GROUP’s integrated consulting and technology business. Building scalable data pipelines and GenAI services.
🇺🇸 United States – Remote
💵 €80k - €150k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
🗣️🇩🇪 German Required
đź•’ 2 days ago
Data Engineer building secure Snowflake data architecture and pipelines for Blood Cancer United. Enabling enterprise analytics and business intelligence to improve blood cancer patient outcomes.
🇺🇸 United States – Remote
đź’µ $89k - $128k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
đź•’ 2 days ago
Senior Data Engineer architecting cloud-native, petabyte-scale data platforms for EXL. Leading pipelines, streaming, analytics optimization, and data engineering teams.
🇺🇸 United States – Remote
đź’µ $85k - $140k / year
đź’° $2M Venture Round on 2015-01
⏰ Full Time
đźź Senior
đź”´ Lead
đźš° Data Engineer
đź•’ 2 days ago
Senior Data Engineer building SAP HANA Cloud and graph data layers for DataXstream’s enterprise AI product. Optimizing data pipelines, security, performance, and machine learning/search integrations.