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Core responsibilities:
- Apply advanced knowledge of Data Engineering principles, methodologies and techniques to design and implement data loading and aggregation frameworks across broad areas of the organization.
- Gather and process raw, structured, semi-structured and unstructured data using batch and real-time data processing frameworks.
- Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
- Drive new and enhanced capabilities to Enterprise Data Platform partners to meet the needs of product / engineering / business.
- Experience building enterprise systems especially using Databricks, Snowflake and platforms like Azure, AWS, GCP etc
- Leverage strong Python, Spark, SQL programming skills to construct robust pipelines for efficient data processing and analysis.
- Implement CI/CD pipelines for automating build, test, and deployment processes to accelerate the delivery of data solutions.
- Implement data modeling techniques to design and optimize data schemas, ensuring data integrity and performance.
- Drive continuous improvement initiatives to enhance performance, reliability, and scalability of our data infrastructure.
- Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions.
- Implement best practices for data governance, security, and compliance to ensure the integrity and confidentiality of our data assets.
- Proven experience (8+) in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses.
- Strong proficiency in SQL, Python and Spark programming languages.
- Strong experience with cloud platforms such as AWS, Azure, or GCP is a must.
- Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.
- Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow etc.
- Experience in implementing CI/CD pipelines for automating build, test, and deployment processes.
- Solid understanding of data modeling concepts, data warehousing architectures, and data management best practices.
- Excellent communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and drive consensus on technical decisions.
- Bachelor's or master's degree in computer science, Engineering, or a related field.
- Relevant certifications (e.g., Azure, Databricks, Snowflake) would be a plus.
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.
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.
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.
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.