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Data Engineer

  • Data Engineer job type Posted on: Nov 08, 2026
  • Data Engineer experience level AARATECH
  • Data Engineer employment type New York City Metropolitan Area, New York
  • Data Engineer salary Salary: $80,000 per year
  • Data Engineer employment type Onsite
  • Data Engineer salary Full-time

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Job Title :

Data Engineer

Job Type :

Full-Time

Job Location :

New York City Metropolitan Area New York United States

Remote :

No

Jobcon Logo Job Description :

Company: Aaratech Inc.Employment Type: Full-Time, W2 (deployed to client projects)Experience: 2-3 yearsCompensation: $70,000 – $80,000 per yearWork Mode: On-Site / HybridWork AuthorizationAt this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.Job SummaryAaratech Inc. is seeking a Data Engineer to help build and maintain data pipelines on cloud platforms. You will develop ETL/ELT workflows, bring data together from multiple systems, and help keep the data that powers reporting and analytics accurate and reliable.What You Will Do• Build and maintain ETL/ELT data pipelines using tools such as Azure Data Factory, SSIS, or AWS Glue.• Pull data together from multiple sources — databases, files, APIs — into clean, usable datasets.• Write SQL to transform, join, and validate data.• Use Python scripts to automate routine data tasks.• Monitor pipelines and help troubleshoot issues when data does not land as expected.• Work with analysts and business teams to understand what data they need and deliver it.• Document your pipelines so others can understand and maintain them.What We Are Looking For• Bachelor's degree in Computer Science, IT, or a related field — or equivalent hands-on experience.• 2+ years working with data — ETL development, data integration, SQL development, or database work all count.• Good SQL skills: comfortable with joins, aggregations, and writing queries against real-world data.• Experience with at least one ETL tool (Azure Data Factory, SSIS, Informatica, Talend, or similar).• Basic familiarity with data warehouse concepts (tables, schemas, fact/dimension basics).• Some Python scripting exposure, or a strong desire to learn it.• Clear communicator and reliable problem-solver.Tools You Will Work With• Cloud: Azure (Data Factory, Synapse) or AWS (Glue, Redshift) — experience with either is fine.• Databases & warehouses: SQL Server, PostgreSQL, Snowflake, or Databricks.• Languages: SQL and Python.• Version control: Git.• Reporting tools your data will feed: Power BI or Tableau.Nice to Have (Not Required)• Any exposure to dbt, Airflow, or Databricks notebooks.• Awareness of CI/CD or basic DevOps concepts.• Experience with Power BI or Tableau.• Certifications such as Azure Data Engineer Associate (DP-203), AWS Data Engineer Associate, or SnowPro Core — helpful but not required.About Aaratech Inc.Aaratech Inc. is a technology-driven organization delivering innovative solutions across data & analytics, cybersecurity, healthcare, and enterprise domains. We are committed to helping organizations build scalable cloud data platforms, optimize data workflows, and enable data-driven decision-making through modern engineering practices.

Jobcon Logo Position Details

Posted:

Nov 08, 2026

Reference Number:

10440_4487303814

Employment:

Full-time

Salary:

$80,000 per year

City:

New York City Metropolitan Area

Job Origin:

APPCAST_CPC

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Company: Aaratech Inc.Employment Type: Full-Time, W2 (deployed to client projects)Experience: 2-3 yearsCompensation: $70,000 – $80,000 per yearWork Mode: On-Site / HybridWork AuthorizationAt this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.Job SummaryAaratech Inc. is seeking a Data Engineer to help build and maintain data pipelines on cloud platforms. You will develop ETL/ELT workflows, bring data together from multiple systems, and help keep the data that powers reporting and analytics accurate and reliable.What You Will Do• Build and maintain ETL/ELT data pipelines using tools such as Azure Data Factory, SSIS, or AWS Glue.• Pull data together from multiple sources — databases, files, APIs — into clean, usable datasets.• Write SQL to transform, join, and validate data.• Use Python scripts to automate routine data tasks.• Monitor pipelines and help troubleshoot issues when data does not land as expected.• Work with analysts and business teams to understand what data they need and deliver it.• Document your pipelines so others can understand and maintain them.What We Are Looking For• Bachelor's degree in Computer Science, IT, or a related field — or equivalent hands-on experience.• 2+ years working with data — ETL development, data integration, SQL development, or database work all count.• Good SQL skills: comfortable with joins, aggregations, and writing queries against real-world data.• Experience with at least one ETL tool (Azure Data Factory, SSIS, Informatica, Talend, or similar).• Basic familiarity with data warehouse concepts (tables, schemas, fact/dimension basics).• Some Python scripting exposure, or a strong desire to learn it.• Clear communicator and reliable problem-solver.Tools You Will Work With• Cloud: Azure (Data Factory, Synapse) or AWS (Glue, Redshift) — experience with either is fine.• Databases & warehouses: SQL Server, PostgreSQL, Snowflake, or Databricks.• Languages: SQL and Python.• Version control: Git.• Reporting tools your data will feed: Power BI or Tableau.Nice to Have (Not Required)• Any exposure to dbt, Airflow, or Databricks notebooks.• Awareness of CI/CD or basic DevOps concepts.• Experience with Power BI or Tableau.• Certifications such as Azure Data Engineer Associate (DP-203), AWS Data Engineer Associate, or SnowPro Core — helpful but not required.About Aaratech Inc.Aaratech Inc. is a technology-driven organization delivering innovative solutions across data & analytics, cybersecurity, healthcare, and enterprise domains. We are committed to helping organizations build scalable cloud data platforms, optimize data workflows, and enable data-driven decision-making through modern engineering practices.

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