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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.  


As a Data Engineer in our Armenia office, you will be responsible for the following:
  • 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.


To be successful, these are the skills, qualities and experience you will need:
  • 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.


Preferred Qualifications:
  • 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.  

 

Average salary estimate

$75000 / YEARLY (est.)
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What You Should Know About Data Engineer, HCVT

At HCVT, we’re excited to invite skilled professionals to join our dynamic advisory team as a Data Engineer right here in Yerevan. If you're passionate about creating innovative data solutions and have a solid background in data engineering, this role is perfect for you! With over 4 years of hands-on experience in building data infrastructure, you’ll dive into exciting projects that truly make a difference for our clients across diverse industries such as healthcare, real estate, and technology. Here at HCVT, we blend collaboration with cutting-edge technology to deliver top-notch data-driven insights that our clients rely on. You will be designing and developing data pipelines and ETL processes to integrate data from various APIs while ensuring utmost data quality and security. Your expertise will also help in data modeling and performance optimization of our systems. We pride ourselves on fostering a supportive work environment that encourages growth and learning. If you thrive on challenges and have a keen eye for detail, you’ll find a great home at HCVT. With our hybrid work model, enjoy the flexibility of remote work balanced with in-office engagement, perfect for both productivity and camaraderie. Join us for the challenges that promote personal and professional growth, and stay for the unparalleled experience you’ll gain. Ready to take the next step? We can’t wait to meet you!

Frequently Asked Questions (FAQs) for Data Engineer Role at HCVT
What are the responsibilities of a Data Engineer at HCVT?

As a Data Engineer at HCVT, you will be responsible for designing and developing data pipelines and ETL processes, collaborating with management and analysts to understand data requirements, ensuring data quality and security across systems, performing data modeling and schema design, and troubleshooting any data pipeline issues that arise. Regular documentation of engineering processes, staying current with trends in data engineering, and recommending improvements are also integral parts of the job.

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What qualifications are needed for the Data Engineer position at HCVT?

To be successful in the Data Engineer position at HCVT, candidates should have a Bachelor's degree in Computer Science or a related field, along with a minimum of 4 years of experience in data engineering. Candidates should also possess proficiency in programming languages such as Python, Java, or Scala, experience with data pipeline tools like Apache Airflow, and a deep understanding of SQL and relational databases like PostgreSQL or MySQL.

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What is the work environment like for a Data Engineer at HCVT?

At HCVT, we embrace a hybrid work model that combines the convenience of remote work with the benefits of in-person collaboration. Data Engineers work a minimum of two days per week in the office, with opportunities for training, team-building, and engagement activities to foster career growth and team cohesion.

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What technologies should a Data Engineer be familiar with at HCVT?

A Data Engineer at HCVT should be familiar with programming languages like Python, Java, or Scala, as well as data pipeline tools such as Apache Airflow or FiveTran. Experience with big data technologies like Hadoop and Spark, cloud platforms like AWS or Google Cloud, and understanding data warehousing concepts with solutions such as Snowflake are also highly advantageous.

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What are the typical working hours for a Data Engineer at HCVT?

The typical working hours for a Data Engineer at HCVT align with U.S. hours, primarily from 13:00 to 22:00, with a one-hour dinner break between 17:00 and 18:00. While the core hours are set, some flexibility during the day is allowed to accommodate communication with the U.S. team.

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Common Interview Questions for Data Engineer
Can you describe your experience with data pipeline development?

When answering this question, provide specific examples of data pipelines you have developed. Explain the tools you used, such as Apache Airflow or other ETL processes, and discuss any challenges you faced and how you overcame them.

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What steps do you take to ensure data quality and integrity?

Highlight your approach to maintaining data quality, such as implementing validation checks, routine audits, and documenting your processes. Discuss any specific tools or methodologies you use.

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How familiar are you with cloud platforms and big data technologies?

Discuss your experience with cloud platforms like AWS, Google Cloud, or Azure, and mention any specific big data tools you have worked with. Be prepared to give examples of projects where you utilized these technologies.

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Can you explain your process for troubleshooting data pipeline issues?

Detail your systematic approach to diagnosing and resolving data pipeline issues. Mention specific tools or methodologies you follow, showcasing your problem-solving skills.

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What programming languages are you proficient in, and how have you used them?

List the programming languages you are proficient in, such as Python or Java, and share specific examples of projects where you utilized these skills in data engineering tasks.

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How do you stay updated with emerging trends in data engineering?

Share your strategies for professional development, such as attending webinars, reading industry blogs, enrolling in courses, or participating in relevant forums that focus on data engineering advancements.

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Describe your experience with data modeling and schema design.

Provide concrete examples of data modeling projects you have worked on, mentioning specific methodologies or tools you utilized for schema design. Highlight your understanding of best practices in data organization.

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How do you prioritize tasks in a fast-paced environment?

Discuss your approach to prioritization, including any frameworks or techniques you use, such as the Eisenhower matrix or Agile methodologies, providing examples of how this has worked in previous roles.

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What challenges have you faced in data engineering and how did you overcome them?

Share specific challenges you encountered in previous data engineering positions and detail the strategies you implemented to overcome those hurdles, demonstrating your resilience and resourcefulness.

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What would you contribute to the culture at HCVT?

Express your commitment to teamwork, collaboration, and fostering a positive work environment. Highlight specific qualities or experiences that reflect your values and how they align with HCVT's core principles.

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The firm provides tax, audit and assurance, business management, and mergers & acquisition services to private companies, closely held businesses, public companies, and high net worth individuals and family offices. The team consists of nearly 700...

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Full-time, hybrid
DATE POSTED
December 3, 2024

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