Senior Data Engineer

InfoVision Inc.; Denver (CO); On-site; USD 110,000 - 126,000; Full time

Job summary

A technology consulting firm in Denver is seeking a Data Engineer with data engineering experience to build ETL pipelines and manage data flows using Spark, Kafka, and various data formats including JSON and Parquet. This role requires strong analytical skills and proficiency in cloud technologies like AWS. The candidate should have experience in managing data pipelines for analytics. This position offers a competitive salary range of approximately $110,000 to $126,000 with contract employment.

Responsibilities

• Build ETLs using Spark and SQL.
• Manage real-time and batch data pipelines using Kafka.
• Work with multiple data formats such as JSON, Parquet, and Delta files.

Skills

Strong organizational and analytical skills

Experience implementing and maintaining high-performance data structures

Experience in relational SQL and NoSQL databases

High proficiency in Python, Spark, SQL, and/or Scala

Experience in designing and implementing ETL processes

Experience in managing data pipelines

Strong understanding of in-memory processing

Experience in AWS cloud services

Experience in stream-processing systems

Experience in data pipeline management tools

Experience in big data tools

Experience in software engineering tools and practices

Experience in data observability and monitoring

Hands-on experience in maintaining data-schema life-cycles

Good to have experience with Databricks and Snowflake

Job description

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Objective: We need data engineering experience—building ETLs using Spark and SQL, real‑time and batch pipelines using Kafka/firehose, experience with buildingPROTO pipelines with Databricks/Snowflake, and ingesting multiple data formats such as JSON, Parquet, and Delta files.

Skills Needed

• Strong organizational and analytical skills related to working with structured and unstructured data operations
• Experience implementing and maintaining high‑performance, high‑availability data structures
• Experience in relational SQL and NoSQL databases
• High proficiency in Python, Spark, 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 in AWS cloud services: EC2, MSK, S3, RDS, SNS, SQS
• Experience in stream‑processing systems: Storm, Spark‑StructuredStreaming, Kafka consumers
• Experience in data pipeline and workflow management tools: Apache Airflow, AWS Data Pipeline
• Experience in big data tools: Hadoop, Spark, Kafka
• Experience in software engineering tools and practices: GitHub, VSCode, CI/CD
• Experience in data observability and monitoring
• Hands‑on experience in designing and maintaining data‑schema life‑cycles
• Good to have experience with Databricks, Snowflake, and ThoughtSpot

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

IT Services and IT Consulting

Location: Denver, CO

Salary: $110,000.00 – $126,000.00 (approx.)

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