Data Engineer

Willow Advanced Partners; Baltimore (MD); On-site; USD 110,000 - 141,000; Full time

Benefits offered by this job

Health insurance

401(k) or pension plan

Tuition reimbursement

Flexible work environment (remote work

Career growth opportunities

Job summary

Willow Advanced Partners, a leading alternative investment firm, is seeking a Data Engineer to join our team in Baltimore, MD. This role focuses on designing, building, and maintaining scalable data pipelines to support our investment strategies and decision-making processes.

You will collaborate with cross-functional teams to understand data needs, develop robust data models, and ensure data quality and performance.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience in data engineering.
• Strong data modeling, ETL, and database management expertise.
• Strong Python and SQL programming; familiarity with Hadoop or Spark.
• Experience with AWS or Azure is a plus.

Responsibilities

• Design, build, and maintain efficient, scalable data pipelines to support our investment strategies.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Develop and implement data models and algorithms to enhance our investment decision-making processes.
• Ensure data quality and integrity through robust data validation and testing procedures.
• Optimize data storage and retrieval processes to improve overall system performance.

Skills

Python

SQL

Hadoop

Spark

Big Data

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

PostgreSQL

Azure

Job description

Willow Advanced Partners, a leading alternative investment firm, is seeking a Data Engineer to join our team in Baltimore, MD. This full-time position offers a competitive salary range of $110,000 to $140,920. The role involves designing, developing, and maintaining data infrastructure to support our investment strategies.

As a Data Engineer, you will be responsible for building and optimizing data pipelines, ensuring data quality and integrity. You will also work on data modeling, database design, and performance tuning. Additionally, you will collaborate with cross-functional teams to understand data needs and deliver solutions.

You will be part of a data-centric team in Baltimore, MD. The workplace is modern and collaborative, fostering innovation and continuous learning. The team is dedicated to leveraging data to drive investment decisions and improve operational efficiency.

The salary range for this position is $110,000 to $140,920, providing a competitive compensation package that reflects the responsibilities and skills required for the role.

• Benefits include comprehensive health insurance, which covers medical, dental, and vision services, as well as mental health support.
• Retirement plans are also offered, with options such as a 401(k) or pension plan, depending on the employer.
• Professional development opportunities are available, including access to online courses, workshops, and conferences, as well as tuition reimbursement for further education.
• The role also offers a flexible work environment, allowing employees to work remotely or adjust their hours to better fit their personal and professional lives.
• Opportunities for career growth are abundant, with potential for promotion, increased responsibilities, and advancement to higher-level positions within the organization.

• Design, build, and maintain efficient, scalable data pipelines to support our investment strategies.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Develop and implement data models and algorithms to enhance our investment decision-making processes.
• Ensure data quality and integrity through robust data validation and testing procedures.
• Optimize data storage and retrieval processes to improve overall system performance.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience in data engineering or a similar role.
• Proven expertise in data modeling, ETL processes, and database management.
• Strong programming skills in Python, SQL, and familiarity with big data technologies like Hadoop or Spark.
• Excellent problem-solving skills and attention to detail.
• Experience with cloud platforms such as AWS or Azure is a plus.