Data Engineer

Come for the Challenge. Stay for the Experience.

At HCVT, we believe every challenge presents an opportunity to positively impact our clients and people. Talented and ambitious individuals who seek limitless professional opportunities thrive at HCVT. Our team is known for its technical skill and ability to help clients address complex business issues all while investing in and supporting our people to provide a rewarding employee experience.

What We Do and Who We Serve

We offer Tax, Audit, Advisory, and Business Management services to our clients, which include private and public companies, high-net-worth individuals, and family offices. We also specialize in serving clients across the following industries: Private Equity, Real Estate & Hospitality, Media & Entertainment, High-Net-Worth Individuals, Manufacturing & Distribution, Professional Services Firms, Technology, Healthcare, Nonprofit Organizations, and Affordable Housing.  

We Live Our Core Values

Our values guide us in our day-to-day interactions with our clients and each other—Integrity at our Core; Building Success Together; Passion for Excellence; and Diversity, Equity, & Inclusion. We are focused and committed to the needs of our clients and our team.

Discover How Far You Can Go.

Opportunities abound at HCVT. Our firm has experienced steady growth since its founding in 1991 and continues to expand its client service offerings, creating new opportunities for professionals to grow their careers. We make significant investments in training and provide interesting, diverse, and intellectually stimulating client engagements for our teams to work on—the kind of work that helps you develop and refine your skills to advance in the profession.

Hybrid Work

At HCVT, we embrace a hybrid work model that offers a balance between in-office collaboration and remote convenience.  Our teams work a minimum two days a week in the office, unless noted otherwise in the job description, complemented by in-person trainings, meetings, and team-building activities to foster your growth and deepen team connections. These trainings and events may take place outside of your home office location.

Apply today and find out why so many come for the challenge—and stay for the experience. We look forward to meeting you! 

Our advisory team is dedicated to providing data-driven insights and strategic direction to our clients. We are a dynamic and innovative group that values expertise, collaboration, and a commitment to excellence.

We are seeking an experienced Data Engineer to join our advisory team. The ideal candidate will have 4+ years of experience in data engineering and will be responsible for designing, building, and maintaining our data infrastructure. This role requires a proactive and detail-oriented individual who can work effectively in a fast-paced environment to deliver high-quality data solutions.

Work hours will match working hours in the U.S. [13:00-22:00, dinner break (one hour between 17:00-18:00)] The working hours can be flexible during the day, but you will work with your US team to ensure some of your work hours overlaps with your US team’s schedule.  

• Design, develop, and optimize data pipelines and ETL processes from various APIs to support data integration and analysis.
• Collaborate with management, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
• Ensure data quality, integrity, and security across all data sources and systems.
• Perform data modeling, schema design, and database management.
• Monitor and troubleshoot data pipeline performance and reliability issues.
• Document data engineering processes, standards, and best practices.
• Stay current with emerging trends and technologies in data engineering and recommend improvements to existing systems.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of 4 years of experience in data engineering or a similar role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data pipeline tools (e.g., Apache Airflow, FiveTran).
• Significant experience building pipelines from various data sources into a centralized database or data warehouse.
• Experience working with and understanding of REST, SOAP, and GraphQL APIs.
• Strong knowledge of SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure).
• Understanding of data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, BigQuery).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

• Master’s degree in Computer Science, Engineering, or a related field.
• Basic knowledge of machine learning frameworks and libraries.

The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.

The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.