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Data Engineer

Job in North Tonawanda, Niagara County, New York, 14120, USA
Listing for: SpaceCoast AV Consultants
Full Time, Seasonal/Temporary position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below

Location: Remote (U.S. Only)
Job Type: Full-time

Job Summary:

We are seeking a talented Data Engineer to build and optimize scalable data pipelines and infrastructure. This role is 100% remote, but applicants must be based in the U.S. You will work closely with data scientists, analysts, and software engineers to ensure seamless data integration and support business intelligence efforts.

Key Responsibilities:
  • Develop, optimize, and maintain data pipelines and ETL processes.
  • Design and manage scalable data storage solutions, including data lakes and warehouses.
  • Implement data governance, security, and compliance best practices.
  • Monitor, troubleshoot, and improve data pipeline performance.
  • Collaborate with cross-functional teams to support data-driven decision-making.
  • Work with cloud platforms (AWS, GCP, Azure) to manage large-scale data processing.
  • Automate data ingestion, transformation, and validation tasks.
Required Qualifications:
  • Bachelor's or Masters degree in Computer Science, Data Engineering, or a related field.
  • Strong proficiency in SQL, Python, or Scala
    .
  • Hands-on experience with Apache Spark, Hadoop, or Airflow
    .
  • Solid understanding of relational (SQL) and No

    SQL databases

    .
  • Experience with cloud data platforms (AWS Redshift, Google Big Query, Azure Synapse).
  • Familiarity with CI/CD and Dev Ops practices for data engineering
    .
  • Strong analytical and problem-solving skills.
Preferred Qualifications:
  • Experience with real-time data streaming technologies (Kafka, Flink).
  • Knowledge of machine learning pipelines
    .
  • Understanding of data privacy regulations (GDPR, CCPA).
  • Competitive salary and performance-based bonuses.
  • Flexible work hours with a fully remote setup.
  • Health, dental, and vision insurance.
  • 401(k) with company matching.
  • Generous paid time off and parental leave.
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