Data Engineer Co-Op
$30 - $34 per hourAudax Group
Founded in 1999, Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, London and Hong Kong. With approximately $42 billion of assets under management and more than 475 employees, Audax is a leading capital partner for middle market companies, operating through three business lines: Audax Private Equity, Audax Private Debt, and Audax Strategic Capital. For more information, visit or follow Audax Group on LinkedIn. CO-OP/Intern Cycle: January 2027 - June 2027 Anticipated Start & End Date: January 4, 2027 - June 25, 2027 (flexible based on school requirements) Location: New York Office Requirements: 3-4 days in office Team: Business Solutions
POSITION SUMMARY
Audax is looking for a dynamic, motivated Data Engineer CO-OP to join the business solutions team. This position will be responsible for supporting the company's Senior Data Engineer with hands-on experience in data engineering, data governance, and data management. You will collaborate with the data team to design, develop, and maintain data pipelines, ensure data quality and integrity, and contribute to the expansion of the company's data warehouse.RESPONSIBILITIES
Designing, implementing, maintaining and scaling the Audax data ecosystem Work with professionals to scale data infrastructure within the company's cloud enterprise data warehouse. Play an integral role in designing ETL processes and analytic pipelines for investment professionals. Assist with implementation of data governance policies, including data cataloging and data lineage. Provide data validation and data quality assessments. Identify and resolve data anomalies.COMPETENCIES
Proficient in SQL and Python required. Familiarity with Java a plus. Familiarity with on-premise and cloud-based databases. Experience designing and implementing optimal data schemas. Knowledge of/experience implementing best practices in data governance.REQUIREMENTS/QUALIFICATIONS
Currently pursuing a Bachelor's or Master's degree in Data Engineering, Analytics Engineering, Information Technology, Computer Science, or another related field. Strong analytical and problem-solving skills. Previous Co-Op or full-time experience in a related field is a plus. Experience taking large data sets, and cleaning/distilling these datasets. Experience with Python a plus. Experience with Alteryx and its advanced capabilities a plus. Strong written and oral communication skills required. Ability to interact in an efficient and meaningful way with all levels of the organization required.TRAVEL
No regular travel is required for this role.OTHER DUTIES
For New York : The hourly range for this position is $30.00-$34.00. The hourly range represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, compensation may vary and will be determined based on but not limited to, the skills, qualifications, and experience of the applicant along with the requirements of the position, and Audax reserves the right to modify this pay range at any time. An employee may also be eligible for annual discretionary incentive compensation based on performance. Audax offers a wide range of employee benefits to full-time employees, including health insurance, life insurance, disability insurance, paid time off (including sick leave, parental leave, volunteer leave, and vacation), charitable donation match, family support services (including Bright Horizons and Benefit Advocate Center), and a 401(k) in addition to other benefits. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Audax Management Co. is an equal opportunity employer. #J-18808-Ljbffr Audax Group- A university in Pennsylvania is seeking a co-op student for a data engineering position in their Data and Analytics division. The role involves assisting in capturing requirements, developing solutions, and creating data pipelines. Candidates should be self-motivated with...Suggested
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