
Data Engineer
Posted Aug 19

Posted Aug 19
This is a fully remote position, open to applicants in District of Columbia, +2 more states.
β’ Design, construct, and maintain scalable end-to-end data pipelines utilizing Databricks, Spark, and related technologies.
β’ Develop effective data processing and transformation workflows for analytics and reporting purposes.
β’ Integrate APIs, databases, and cloud storage to create unified datasets.
β’ Work collaboratively with data science, analytics, and business unit teams to implement data solutions that align with business objectives.
β’ Establish validation, monitoring, and observability processes to guarantee data accuracy, completeness, and reliability.
β’ Contribute to initiatives in data governance, security, and automation.
β’ Utilize AWS S3, Glue, Lambda, and Redshift to develop and deploy cloud-native data solutions.
β’ Proven experience with cloud-based ETL services like AWS Glue, Google Cloud Dataflow, or Azure Data Factory.
β’ Familiarity with cloud data warehousing technologies such as Amazon Redshift, Google BigQuery, or Snowflake.
β’ Proficient in Python, SQL, Spark, and PySpark.
β’ Experience with data platforms including Databricks, Palantir, and Snowflake.
β’ Understanding of data orchestration and data quality processes.
β’ Must possess US citizenship.
β’ Applicants within the US must have work authorization that does not currently or in the future require visa sponsorship.
β’ Secret clearance or higher is a plus.
β’ Experience working with federal clients is a bonus.
β’ Familiarity with COTS and open-source data engineering tools such as ElasticSearch and NiFi is advantageous.
β’ Experience with Docker/Kubernetes, Hadoop/Spark, NiFi, and the ELK stack is beneficial.
β’ Familiarity with Agile/Scrum methodologies is a plus.
β’ Data engineering certification, such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar, is a bonus.
β’ A collaborative and supportive community.
β’ Hands-on experience opportunities.
β’ Access to certifications.
β’ Industry training provided.
β’ Reasonable accommodations for disabilities or religious observances.
β’ Commitment to equal employment opportunities and affirmative action employer standards.
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