Senior Data Engineer
$130,000–$140,000 year
RemoteUnited States
United StatesRemotePart Time$130,000–$140,000 yearSenior Level
Part TimeSenior Level
Job Summary
Design, build, and optimize scalable data solutions, including ETL/ELT workflows, data pipelines, and cloud-native architectures supporting batch and real-time processing. Evaluate technical approaches for complex challenges, generate architecture recommendations, and implement approved solutions while ensuring data quality, governance, and security. Diagnose production issues, optimize database performance, and lead small initiatives or serve as the technical lead for data engineering projects. Mentor junior engineers through code reviews and technical guidance, collaborate with cross-functional teams to translate business requirements into scalable solutions, and present designs to stakeholders.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline with 7+ years of professional experience. Relevant years of experience may be substituted for formal education.
- 7+ years of experience designing, building, and maintaining enterprise-scale data platforms and data pipelines.
- Strong proficiency in SQL with experience developing, optimizing, and troubleshooting complex queries and large datasets.
- Professional experience developing software and data solutions using Python, Java, Scala, or a comparable programming language.
- Experience designing, developing, and maintaining ETL/ELT pipelines for batch and real-time data processing.
- Experience working with cloud-based data platforms and services within AWS, Microsoft Azure, or Google Cloud Platform.
- Experience with modern cloud data platforms such as Snowflake, Databricks, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.
- Experience with relational database technologies such as PostgreSQL, SQL Server, Oracle, or MySQL, along with familiarity with NoSQL database solutions.
- Experience with distributed data processing frameworks such as Apache Spark or equivalent big data technologies.
- Strong understanding of data modeling, dimensional modeling, schema design, data warehousing, and database optimization.
- Experience implementing data quality, validation, governance, metadata management, and data lineage best practices.
- Experience working with structured, semi-structured, and unstructured data from multiple sources.
- Experience with version control systems such as Git and CI/CD practices supporting data engineering workflows.
- Understanding of data security, privacy, encryption, and access control principles.
- Experience monitoring, troubleshooting, and optimizing production data systems for scalability, availability, and performance.
- Experience working within Agile software development environments and collaborating across cross-functional engineering teams.
- Strong analytical, troubleshooting, and problem-solving skills with the ability to make sound technical decisions.
- Excellent written and verbal communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Demonstrated ability to mentor junior engineers through code reviews, technical guidance, and knowledge sharing.
- Ability to obtain and maintain a U.S. Public Trust clearance.
Desired Qualifications
- Experience supporting U.S. Federal Government programs or other highly regulated environments.
- Experience with orchestration platforms such as Apache Airflow, Prefect, Azure Data Factory, or AWS Step Functions.
- Experience with streaming technologies such as Apache Kafka, Amazon Kinesis, or Azure Event Hubs.
- Experience using dbt or other modern data transformation frameworks.
- Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation.
- Experience working with Docker and Kubernetes in cloud-native environments.
- Experience building analytics and business intelligence solutions using Tableau, Power BI, Looker, or similar visualization tools.
- Existing Public Trust or higher security clearance.
- Experience serving as a technical lead or mentoring engineers on enterprise-scale data initiatives.
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