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Data Engineer

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Sparibis

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Location: 100% remote; Years’ Experience: 10+ years professional experience; Education: Bachelor degree in IT related field; Clearance: Applicants must be able to obtain and maintain a Public Trust security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance

Job Responsibility:

  • Plan, create, and maintain data architectures, ensuring alignment with business requirements
  • Obtain data, formulate dataset processes, and store optimized data
  • Identify problems and inefficiencies and apply solutions
  • Determine tasks where manual participation can be eliminated with automation
  • Identify and optimize data bottlenecks, leveraging automation where possible
  • Create and manage data lifecycle policies (retention, backups/restore, etc)
  • In-depth knowledge for creating, maintaining, and managing ETL/ELT pipelines
  • Create, maintain, and manage data transformations
  • Maintain/update documentation
  • Create, maintain, and manage data pipeline schedules
  • Monitor data pipelines
  • Create, maintain, and manage data quality gates (Great Expectations) to ensure high data quality
  • Support AI/ML teams with optimizing feature engineering code
  • Expertise in Spark/Python/Databricks, Data Lake and SQL
  • Create, maintain, and manage Spark Structured Steaming jobs, including using the newer Delta Live Tables and/or DBT
  • Research existing data in the data lake to determine best sources for data
  • Create, manage, and maintain ksqlDB and Kafka Streams queries/code
  • Data driven testing for data quality
  • Maintain and update Python-based data processing scripts executed on AWS Lambdas
  • Unit tests for all the Spark, Python data processing and Lambda codes
  • Maintain PCIS Reporting Database data lake with optimizations and maintenance (performance tuning, etc)
  • Streamlining data processing experience including formalizing concepts of how to handle lake data, defining windows, and how window definitions impact data freshness
  • Perform related duties as assigned

Requirements:

  • 10+ years of IT experience focusing on enterprise data architecture and management
  • Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables required
  • Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services
  • Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization)
  • Must be able to obtain a Public Trust security clearance
  • Bachelor degree required
  • Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling
  • Additional experience with Spark, Spark SQL, Spark DataFrames and DataSets, and PySpark
  • Data Lake concepts such as time travel and schema evolution and optimization
  • Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support
  • Advanced level understanding of streaming data pipelines and how they differ from batch systems
  • Formalize concepts of how to handle late data, defining windows, and data freshness
  • Advanced understanding of ETL and ELT and ETL/ELT tools such as SSIS, Pentaho, Data Migration Service etc.
  • Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermark, etc.
  • Indexing and partitioning strategy experience
  • Debug, troubleshoot, design and implement solutions to complex technical issues
  • Experience with large-scale, high-performance enterprise big data application. deployment and solution
  • Understanding how to create DAGs to define workflows
  • Experience with Docker, Jenkins, and CloudWatch
  • Ability to write and maintain Jenkinsfiles for supporting CI/CD pipelines
  • Experience working with AWS Lambdas for configuration and optimization
  • Experience working with DynamoDB to query and write data
  • Experience with S3
  • Ability to thrive in a team-based environment
  • Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level of management

Nice to have:

  • Structured Streaming and Delta Live Tables with Databricks a bonus
  • Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus
  • Familiarity with CI/CD pipelines, containerization, and pipeline orchestration tools such as Airflow, Prefect, etc a bonus but not required
  • Architecture experience in AWS environment a bonus
  • Familiarity working with Kinesis and/or Lambda specifically with how to push and pull data, how to use AWS tools to view data in Kinesis streams, and for processing massive data at scale a bonus
  • Knowledge of Python (Python 3 desired) for CI/CD pipelines a bonus
  • Familiarity with Pytest and Unittest a bonus
  • Experience working with JSON and defining JSON Schemas a bonus
  • Experience setting up and management Confluent/Kafka topics and ensuring performance using Kafka a bonus
  • Familiarity with Schema Registry, message formats such as Avro, ORC, etc

Additional Information:

Job Posted:
December 12, 2025

Work Type:
Remote work
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