Data Infrastructure Manager

1 day ago


Alexandria, Virginia, United States Biz First Full time
We are looking for a highly skilled Data Infrastructure Manager to join our team at Biz First. In this role, you will be responsible for designing, developing, and optimizing our data infrastructure and pipelines. The ideal candidate will have a strong background in building and managing data pipelines, with experience in big data technologies such as Databricks, Hadoop, Spark, and Kafka. A salary range of $160,000 - $200,000 per year, depending on experience, is expected for this role. This position can be based remotely or 2-3 days/week onsite in the DC Metro area.

**Job Responsibilities:**
- Design, develop, and implement end-to-end data pipelines using ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
- Manage and maintain existing data infrastructure and pipelines, ensuring scalability, reliability, and high-performance processing.
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and design optimal data models and architectures.
- Develop and maintain documentation for software applications, workflows, and processes.
- Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.
- Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
- Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.

**Requirements:**
- US Citizenship Required: Only US Citizens are eligible for this position.
- Clearance: US Citizens, Biz First will sponsor security clearance.
- Experience: Minimum of 6 years of experience as a Data Engineer or in a similar role, with a strong background in building and managing data pipelines.
- Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka.
- Database Management: Experience with relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, or Cassandra.
- Programming Languages: Strong programming skills in Python and Scala.
- Cloud Services: Experience with cloud platforms such as AWS, Azure, or Google Cloud, and their data services.
- Data Modeling: Expertise in data modeling, schema design, and data warehousing.
- Data Security: Knowledge of data security best practices and regulatory compliance.
- Databricks: Experience with Databricks for data processing and analytics, including building and managing data pipelines in Databricks environments.
- Problem-solving: Strong problem-solving skills and ability to work in a fast-paced dynamic environment.
- Communication: Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams.
- Detail-oriented: Detail-oriented mindset with a commitment to delivering high-quality results.

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