Data Engineer

Venture Grove Inc.; San Antonio (TX); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Venture Grove Inc. in San Antonio, TX is seeking a Data Engineer to design, build, and maintain scalable data systems that support business operations and analytics.

You will collect, process, and analyze data to ensure accuracy, reliability, and timely insights, while developing data pipelines and optimizing storage and retrieval. Collaborate with a team of data professionals in a dynamic office environment.

Qualifications

• Bachelor's degree in CS, data engineering, or related field required.
• 3–5 years of relevant data engineering experience requested.
• Strong SQL and Python skills with experience in data warehousing tools.

Responsibilities

• Design, build, and maintain scalable data pipelines to extract, transform, and load data from various sources.
• Optimize database performance and ensure data integrity and security.
• Collaborate with cross‑functional teams to translate business requirements into technical solutions.

Skills

SQL

Python

Big data tech

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

Amazon Redshift

Google BigQuery

Hadoop/Spark

Job description

Venture Grove Inc. is hiring a Data Engineer in San Antonio, TX. This full-time role involves designing, building, and maintaining data systems to support business operations and analytics.

As a Data Engineer, you will collect, process, and analyze data to ensure its accuracy and reliability. You'll also develop and implement data pipelines, and optimize data storage and retrieval.

You’ll collaborate with a team of data professionals and work in a dynamic environment. The office is located in San Antonio, TX, offering a vibrant city and state atmosphere.

The salary range for this position is $80,000 to $100,000 per year, inclusive of comprehensive benefits such as health insurance, retirement plans, and opportunities for professional development. Employees are expected to perform a variety of tasks, including data analysis, report generation, and client communication. The role requires proficiency in data analysis tools like Excel and SQL, as well as strong interpersonal skills to effectively interact with clients and team members. The workplace is typically an office environment, though remote work options may be considered depending on the specific company policies and the candidate's needs. The position requires a bachelor's degree in a related field, typically business, economics, or a similar discipline, and a minimum of 3-5 years of relevant experience in data analysis or a comparable role.

To excel in this role, you should possess a Bachelor's degree in Computer Science, Data Science, or a related field, demonstrating a solid foundation in the technical aspects of data management and analysis. Your professional experience should include hands‑on work with SQL, enabling you to efficiently query and manipulate databases, and Python, allowing you to develop and implement data processing scripts and algorithms. Additionally, you should have experience with data warehousing tools, such as Amazon Redshift or Google BigQuery, which are essential for storing, organizing, and analyzing large datasets. These tools are typically used in a data‑driven workplace, where you would be responsible for tasks such as data extraction, transformation, and loading (ETL), as well as creating and maintaining data models and dashboards. The role may also require you to work with other data professionals, such as data engineers and analysts, to ensure that data is accurate, reliable, and accessible to stakeholders.

The deadline for applications is May 31, 2023.

Responsibilities

• Design, develop, and maintain scalable data pipelines to extract, transform, and load data from various sources.
• Optimize database performance and ensure data integrity and security.
• Collaborate with cross‑functional teams to understand business requirements and translate them into technical solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Proven experience as a Data Engineer, with a strong background in SQL, Python, and big data technologies like Hadoop or Spark.
• Familiarity with cloud platforms such as AWS or GCP is a plus.
• Excellent problem‑solving skills and the ability to work in a fast‑paced environment.