Senior Data Engineer
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Salary
≈ $89k – $197k per year (Estimated)
Location
Remote (location not specified)
Seniority
Senior · 7+ years exp
Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 8, 2026. Ascendion scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Ascendion is an American technology services company created in 2022 when Collabera's digital engineering business was separated under private equity ownership and rebranded. It builds software, data platforms and applied artificial intelligence for enterprise clients across financial services, healthcare, retail, technology and communications, and it markets itself around engineering delivery accelerated by its own artificial intelligence tooling rather than around headcount. Headquartered in Basking Ridge, New Jersey with its largest delivery base in India, it employs several thousand engineers across North America, Europe and Asia.
Key Responsibility Areas:
- Design and develop scalable, secure, and high-performance data engineering solutions on Microsoft Azure.
- Architect and implement complex ETL/ELT data pipelines using Azure Data Factory and Azure Databricks.
- Develop highly optimized PySpark applications and Databricks notebooks for large-scale data processing.
- Design and implement batch and incremental data processing frameworks.
- Develop complex SQL queries, stored procedures, CTEs, window functions, and data transformations.
- Design and implement data ingestion solutions from multiple structured and semi-structured data sources.
- Work extensively with Azure Data Lake Storage Gen2, Delta Lake, and Parquet.
- Design and implement Medallion Architecture (Bronze, Silver, Gold) and modern data lake/lakehouse solutions.
- Optimize Databricks clusters, Spark jobs, PySpark code, SQL queries, and data pipelines for performance and cost.
- Develop robust error handling, logging, monitoring, and data validation mechanisms.
- Implement data quality, reconciliation, and validation frameworks.
- Troubleshoot complex production issues and provide root-cause analysis and permanent solutions.
- Lead technical discussions and contribute to data architecture and solution design.
- Mentor junior and mid-level data engineers and provide technical guidance.
- Collaborate with Data Architects, Developers, Data Scientists, Business Analysts, and other stakeholders.
- Participate in code reviews and establish engineering best practices and coding standards.
- Implement CI/CD processes for data engineering workloads using Azure DevOps/Git.
- Ensure solutions comply with organizational standards for security, governance, scalability, and reliability.
Mandatory Technical Skills
- 7-11 years of overall experience in Data Engineering / Data Platforms.
- Strong hands-on experience with Azure Databricks.
- Strong experience with Azure Data Factory (ADF).
- Excellent hands-on experience with PySpark and Python.
- Advanced proficiency in SQL.
- Strong understanding of Apache Spark and distributed data processing.
- Experience with Delta Lake and Parquet.
- Strong experience designing and developing ETL/ELT pipelines.
- Strong understanding of data warehousing and data modeling concepts.
- Experience with Azure Data Lake Storage Gen2 (ADLS Gen2).
- Experience with performance tuning and optimization of Spark/PySpark workloads.
- Experience with production support, troubleshooting, monitoring, and data pipeline optimization.
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