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Sr Data Engineer-ETL

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: InfoVision Inc.
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Title:

Sr. Data Engineer-ETL Duration:
Long-term Main Skill

  • Over 10+ years of experience in the Software Development Industry.
  • We need data Engineering exp - building ETLs using Spark and SQL, real‑time and batch pipelines using Kafka/firehose, experience with building pipelines with Databricks/Snowflake, experience with ingesting multiple data formats like JSON/Parquet/Delta etc.
Job Description About You
  • You have a BS or MS in Computer Science or a similar relevant field.
  • You work well in a collaborative, team‑based environment.
  • You are an experienced engineer with 3+ years of experience.
  • You have a passion for big data structures.
  • You possess strong organizational and analytical skills related to working with structured and unstructured data operations.
  • You have experience implementing and maintaining high‑performance/high‑availability data structures.
  • You are most comfortable operating അന്ത within cloud‑based ecosystems.
  • You enjoy leading projects and mentoring other team members.
Specific Skills
  • Over 10 years of experience in the Software Development Industry.
  • Experience or knowledge of relational SQL and No

    SQL databases.
  • High proficiency in Python, PySpark, SQL and/or Scala.
  • Experience in designing and implementing ETL processes.
  • Experience in managing data pipelines for analytics and operational use.
  • Strong understanding of in‑memory processing and data formats (Avro, Parquet, JSON etc.).
  • Experience or knowledge of AWS cloud services: EC2, MSK, S3, RDS, SNS, SQS.
  • Experience or knowledge of stream‑processing systems: i.e., Storm, Spark‑Structured‑Streaming, Kafka consumers.
  • Experience or knowledge of data pipeline and workflow management tools: i.e., Apache Airflow, AWS Data Pipeline.
  • Experience or knowledge of big data tools: i.e., Hadoop, Spark, Kafka.
  • Experience or knowledge of software engineering tools/practices: i.e., Git Hub, VS Code, CI/CD.
  • Experience or knowledge in data observability and monitoring.
  • Hands‑on experience in designing verrassation data schema life‑cycles.
  • Bonus – Experience in tools like Databricks, Snowflake and Thought Spot.
Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Analyst

Industries

Entertainment Providers

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