Big Data/Machine Learning Engineer jobs in United States
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Scalence L.L.C. · 1 month ago

Big Data/Machine Learning Engineer

Scalence L.L.C. is seeking a Big Data/Machine Learning Engineer to join their dynamic team. In this role, you will design, build, and optimize data pipelines and data stores to support business intelligence and analytical needs.

Information Technology & Services
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Responsibilities

Design, construct, install, test, and maintain robust data management systems
Build high-performance, scalable data pipelines for data ingestion, transformation, and loading
Develop and manage data warehouse solutions to ensure data integrity and accessibility
Implement monitoring and alerting systems for data pipelines
Optimize data retrieval and consumption for various analytical use cases
Evaluate and recommend new technologies and best practices

Qualification

PythonAWSData WarehousingPySparkSQLDistributed ComputingNoSQLDatabricksData GovernanceProblem-Solving

Required

Applicants must be able to work directly for Artech on W2
Bachelor's Degree with at least 6 years of work experience
Must have previous client experience
4 years of experience in application development including Python, PySpark, SQL, etc
4 years of experience with a public cloud (AWS preferred)
2 years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark)
4 years of data warehousing experience (Redshift or Snowflake)
2 years of experience with NoSQL implementation
2 years of experience with Databricks

Preferred

Experience with data governance, security, and privacy policies
Proven ability to collaborate with Data Scientists, Analysts, and stakeholders
Strong problem-solving skills and attention to detail

Benefits

Inclusive and diverse work environment
Opportunities for professional growth and development
Supportive team culture that values collaboration and innovation

Company

Scalence L.L.C.

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In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.

Funding

Current Stage
Late Stage
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