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Engineer II Big Data Apptio ETL

Job in New York, New York County, New York, 10261, USA
Listing for: DS Technologies Inc
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing, Big Data
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: New York

Job Title:

Engineer II – Big Data / Apptio / ETL

Location:

New York, NY (Onsite) | Position Type:
Contract Only W2

Job Description

We are seeking a highly motivated Engineer II (Big Data Engineer) with strong technical expertise in Apptio, Big Data, MS SQL, Oracle PL/SQL, Python, PySpark, and ETL/Data Warehousing. The ideal candidate will support data engineering, analytics, reporting, and financial/IT cost transparency initiatives leveraging Apptio and enterprise data platforms.

Key Responsibilities
  • Develop and maintain Big Data pipelines using PySpark, Python, and other data engineering tools.
  • Work with Apptio for IT financial management, cost modeling, and reporting.
  • Perform ETL development for large-scale Data Warehousing and analytics systems.
  • Develop and optimize MS SQL Server objects (queries, stored procedures, SSIS packages, SSRS reports).
  • Write efficient Oracle PL/SQL code for RDBMS-based applications.
  • Analyze, transform, and process structured/unstructured data for reporting and insights.
  • Collaborate with business teams to gather requirements and deliver analytical solutions.
  • Troubleshoot data issues, improve data quality, and ensure system performance.
  • Document data flows, technical specs, and operational processes.
Required Skills
  • Hands‑on experience with Apptio (cost transparency, reporting, ITFM tools).
  • Strong knowledge of Big Data technologies (Hadoop, Spark, PySpark).
  • Proficiency in MS SQL Server, including SSIS and SSRS.
  • Strong SQL coding with RDBMS (MS SQL, Oracle).
  • Experience with Oracle PL/SQL programming.
  • Good command of Python for scripting and automation.
  • Strong understanding of ETL processes and Data Warehousing concepts.
  • Experience working in Data Analytics environments.
Preferred Skills
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Knowledge of visualization tools (Tableau, Power BI).
  • Familiarity with IT cost modeling and financial analytics.
  • Understanding of Agile methodologies and CI/CD workflows.
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