Data Engineer / Python / SQL / AWS / Kubernetes / Docker
Baltimore, Maryland
Hybrid
Full Time
$120k - $150k
Job Description
Our client is a Baltimore-based investment management firm known for its long-term, research-driven approach to investing. The firm specializes in growth equity strategies, focusing on identifying high-quality companies with the potential for sustainable growth over time. The company is committed to delivering superior investment performance while fostering strong relationships with clients through transparency, integrity, and personalized service. They are seeking a talented and motivated Mid-Level Data Engineer to join their growing technology team.
As a Data Engineer, you will play a critical role in designing, building, and maintaining the infrastructure that supports data-driven decision-making processes. You will collaborate with cross-functional teams to ensure the efficient flow of data and the implementation of innovative solutions that align with the firm’s strategic goals.
This role offers a hybrid work environment, requiring two days per week in the Baltimore, Maryland office.
Key Responsibilities
**Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**
#LI-LT2
Our client is a Baltimore-based investment management firm known for its long-term, research-driven approach to investing. The firm specializes in growth equity strategies, focusing on identifying high-quality companies with the potential for sustainable growth over time. The company is committed to delivering superior investment performance while fostering strong relationships with clients through transparency, integrity, and personalized service. They are seeking a talented and motivated Mid-Level Data Engineer to join their growing technology team.
As a Data Engineer, you will play a critical role in designing, building, and maintaining the infrastructure that supports data-driven decision-making processes. You will collaborate with cross-functional teams to ensure the efficient flow of data and the implementation of innovative solutions that align with the firm’s strategic goals.
This role offers a hybrid work environment, requiring two days per week in the Baltimore, Maryland office.
Key Responsibilities
- Develop, maintain, and optimize data pipelines using Python and SQL to support data analytics and business intelligence initiatives.
- Work with AWS cloud services, including S3, Lambda, RDS, and Redshift, to build scalable data solutions.
- Design and implement CI/CD pipelines to automate deployment processes for data engineering projects.
- Utilize containerization tools (such as Docker or Kubernetes) to streamline the development, testing, and deployment of data infrastructure.
- Collaborate with stakeholders to gather requirements and provide technical solutions that support business objectives.
- Ensure data quality, integrity, and security through best practices in data governance and management.
- Monitor and troubleshoot data workflows and infrastructure, ensuring high availability and performance.
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 3-5 years of experience in data engineering or a similar role.
- Proficiency in Python and SQL for data processing, transformation, and analysis.
- Experience with AWS services (S3, EC2, Lambda, Redshift, etc.) in a production environment.
- Familiarity with CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI.
- Knowledge of containerization technologies such as Docker and Kubernetes.
- Strong understanding of ETL processes, data warehousing, and data modeling.
- Experience with Terraform or CloudFormation for infrastructure as code.
- Knowledge of big data tools and technologies (e.g., Hadoop, Spark).
- Familiarity with data visualization tools such as Tableau or Power BI.
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- 401(k) with company match.
- Flexible hybrid work environment.
- Opportunities for professional development and career growth.
**Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**
#LI-LT2