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Sr. Data Engineer-ETL
QUANTUM TECHNOLOGIES LLCDenver, CO🇺🇸United StatesPosted 6 Aug 2026
Quick Overview
Salary
€71/hr
Work Type
Hybrid
Level
Mid Senior
Job Description
Job Title:Sr. Data Engineer-ETL
Location: Denver, CO
Duration: 12 Months + Extension
Bill Rate: $71/hour
Job Type: W-2 Contract
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
Job Description:
Looking for a highly technical, hands-on Data Engineer III for our Data Lake Team that can independently lead data engineering projects and strive to proactively improve process efficiency, making recommendations for process and system improvements where applicable. The Data Engineer III role will be responsible for not only understanding data pipelines but, event streaming applications, and how to build systems that handle massive amounts of data while making it consumable by other application teams, users and data scientists.
Specific Skills:
Looking for a highly technical, hands-on Data Engineer III for our Data Lake Team that can independently lead data engineering projects and strive to proactively improve process efficiency, making recommendations for process and system improvements where applicable. The Data Engineer III role will be responsible for not only understanding data pipelines but, event streaming applications, and how to build systems that handle massive amounts of data while making it consumable by other application teams, users and data scientists.
Specific Skills:
- Over 10 years of experience in the Software Development Industry.
- Experience or knowledge of relational SQL and NoSQL 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., Github, VSCode, CI/CD
- Experience or knowledge in data observability and monitoring
- Hands-on experience in designing and maintaining data schema life-cycles.
- Bonus - Experience in tools like Databricks, Snowflake and Thoughtspot
- Equal Opportunity Employer:
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law
- Equal Opportunity Employer:
Skills
SQL
Scala
AWS
ETL
Snowflake
Airflow
Apache
Data Pipeline
Databricks
Hadoop
Kafka
Python
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