Data Engineer POST NUMBER: 433071
Job Title: Data Engineer
Job Overview:
We are seeking a skilled Data Engineer to design, build, and maintain scalable and efficient data pipelines and infrastructure. The ideal candidate will have strong expertise in data integration, transformation, and storage, ensuring the availability and accessibility of data for business analytics and decision-making.
Key Responsibilities
- Data Pipeline Development: Design, implement, and optimize data pipelines to process and transform raw data into usable formats for analytics and reporting.
- Data Integration: Integrate data from various sources, including APIs, databases, and third-party platforms, ensuring data quality and consistency.
- Database Management: Develop and maintain relational and non-relational databases, optimizing performance for scalability and high availability.
- ETL Processes: Build and manage Extract, Transform, and Load (ETL) workflows for data ingestion, transformation, and storage.
- Data Governance: Ensure compliance with data governance policies, including security, privacy, and quality standards.
- Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Performance Tuning: Monitor and improve the performance of data systems, including database query optimization and infrastructure scaling.
- Documentation: Create and maintain comprehensive documentation for data architecture, pipelines, and processes.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Proven experience in data engineering or a similar role.
- Strong programming skills in languages such as Python, Java, or Scala.
- Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, MongoDB).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and related tools like Redshift, BigQuery, or Snowflake.
- Familiarity with big data frameworks such as Hadoop, Spark, or Kafka.
- Knowledge of data modeling and schema design for structured and unstructured data.
- Hands-on experience with ETL tools and data workflow automation (e.g., Apache Airflow, Talend).
Preferred Qualifications
- Master’s degree in a related field.
- Experience with real-time data processing and streaming technologies.
- Understanding of data visualization and reporting tools (e.g., Tableau, Power BI).
- Knowledge of machine learning pipelines and data science workflows.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Key Competencies
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- High attention to detail and commitment to data quality.
- Ability to work in a fast-paced, dynamic environment and handle multiple tasks.
Vaco values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
EEO Notice
Vaco is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.
Vaco LLC and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco LLC and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com .
Vaco also wants all applicants to know their rights that workplace discrimination is illegal.
By submitting to this position, you agree that you will be giving Vaco the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.
Privacy Notice
Vaco LLC and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco”) respects your privacy and are committed to providing transparent notice of our policies.
- California residents may access Vaco’s HR Notice at Collection for California Applicants and Employees here.
- Virginia residents may access our state specific policies here.
- Residents of all other states may access our policies here.
- Canadian residents may access our policies in English here and in French here.
- Residents of countries governed by GDPR may access our policies here.
Pay Transparency Notice
Determining compensation for this role (and others) at Vaco depends upon a wide array of factors including but not limited to:
- the individual’s skill sets, experience and training;
- licensure and certification requirements;
- office location and other geographic considerations;
- other business and organizational needs.
With that said, as required by local law, Vaco believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.