Title: Data Engineer

Location: San Antonio, TX

Position Type: Full time (30-40+ hours/week), hourly.

Contract: GSA

Education Level: Bachelor’s Degree

Job Category: IT

Start Date: March 1, 2025

SIN Number: 621-100

Our Company Promise:

We are committed to providing our Employees a stable work environment with equal opportunity for learning and personal growth. Vighter’s Mission is to provide efficient, fast, high quality healthcare staffing to our clients. Our Culture’s 5 key elements are crucial to the effectiveness of our employees in accomplishing our mission. These elements are:

Dependability Integrity Personability Transparency Responsiveness

Creating and cultivating this Culture within the organization is our commitment to our employees. Above all, Vighter employees will be provided the same concern, respect, and caring attitude that they are expected to share externally with every Vighter Client and Customer.

Summary:

Vighter is seeking to hire a Data Engineer in San Antonio, TX. Data Engineers play a crucial role in making data accessible and usable, enabling data scientists and analysts to derive insights and make data-driven decisions. Vighter’s Data Engineer will be responsible for designing, building, and managing systems and infrastructure that allow organizations to collect, store, process, and analyze large volumes of data. The role typically involves collaboration with data scientists, data analysts, and software engineers to ensure that data is accessible, reliable, and usable.

Principle Accountabilities:

Building and maintaining data pipelines to extract, transform, and load (ETL) data from multiple sources to data warehouses, lakes, or other storage systems. Automating data workflows to streamline data processing and ensure real-time or batch data availability. Optimizing pipelines for performance, scalability, and fault tolerance. Integrating data from various sources, including databases, APIs, cloud platforms, and third-party systems. Ensuring data consistency and integrity when pulling data from diverse sources. Transforming and cleaning data for analysis, ensuring it is structured, accurate, and standardized. Designing and managing databases to store large-scale datasets. Monitoring and optimizing database performance for high-speed queries and transactions. Ensuring data security and compliance with data governance policies. Designing and managing databases to store large-scale datasets. Monitoring and optimizing database performance for high-speed queries and transactions. Ensuring data security and compliance with data governance policies. Reviews and debugs code, performs validation and verification testing. Designing scalable and efficient data architectures that meet the needs of the organization and its data users. Selecting appropriate data storage solutions, whether on-premises or in the cloud (e.g., Amazon S3, Google Cloud Storage, Hadoop, etc.). Designing data models that can support analytics, reporting, and machine learning. Implementing data validation and quality checks to ensure that the data is accurate, complete, and consistent. Monitoring data quality and proactively identifying and resolving issues. Developing and maintaining data quality dashboards for continuous monitoring. Collaborating with data scientists and analysts to understand data needs and ensuring that data is available and accessible for analysis. Working with software engineers to integrate data solutions with existing systems. Communicating with business stakeholders to understand requirements and translate them into data solutions. Optimizing data processing workflows to reduce latency and improve throughput. Fine-tuning query performance and database indexing. Ensuring efficient storage to reduce costs without sacrificing performance. Optimizing data processing workflows to reduce latency and improve throughput. Fine-tuning query performance and database indexing. Ensuring efficient storage to reduce costs without sacrificing performance. Managing cloud-based data storage and processing platforms (e.g., AWS, Google Cloud, Azure). Configuring cloud data services, such as managed databases, serverless processing, and big data analytics tools. Scaling infrastructure to handle increased data loads efficiently. Implementing security measures to protect sensitive data, including encryption, access control, and monitoring. Ensuring compliance with data privacy regulations (e.g., GDPR, CCPA). Documenting data access policies and maintaining audit logs. Monitoring data pipelines and infrastructure to ensure smooth and continuous data flow. Troubleshooting data-related issues and resolving bottlenecks or failures in a timely manner. Proactively identifying risks to data operations and addressing them before they affect the business. Evaluating and adopting new technologies to improve data engineering processes (e.g., new ETL frameworks, data warehouses, or machine learning platforms). Staying updated with industry trends in big data technologies and best practices. Creating and maintaining documentation for data pipelines, architecture, and data processing workflows. Providing training and support to other team members or departments on data systems and best practices. Optimizing data engineering processes for better performance, cost efficiency, and scalability. Identifying automation opportunities to reduce manual interventions in data processing. A deep sense of purpose and dedication to the United States and our U.S. Military Veterans, their Families, and other patients as assigned. An unshakeable adherence to quality and continuous process improvement. An apolitical, patient-centered focus that drives to enhanced care and patient satisfaction Knowledge of regulations (HIPAA/Privacy Act) regarding the confidentiality of patient medical records and information as well as Personally Identifiable Information (PII). Other duties as assigned.

Knowledge and Skills:

Must have exceptional customer service skills. Employees shall be technically proficient in the skills necessary to fulfill the job requirements, including ability to speak, understand, read and write English fluently.

Education:

Bachelor’s degree in Computer Science or other related field is required.

Qualifications:

Minimum of three (3) years of experience in mobile applications and/or game and app development. Proficiency in popular coding languages including Python, Java and C++ and frameworks or systems such as AngularjS and Git. Excellent knowledge of the software development life cycle. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong problem-solving and communication skills. Knowledge of Object-Relational Mapping frameworks. Experience with Agile and Scrum development methodologies. Ability to learn quickly and work independently or as part of a team. Excellent organizational and time management skills. Ability to multitask required, must be detail oriented. Experience working with Microsoft Office Suite, (i.e., Microsoft Word, Microsoft Excel, Microsoft PowerPoint), Adobe Acrobat, and Google Workspace.

Duty Hours / On-call Requirements:

Generally speaking, the corporate office is open 8 a.m.-5 p.m.; however, during times of rapid mobilization, hours may be extended to include days, nights, weekends and holidays. The are opportunities across a multitude of locations and shifts. We try our best to accommodate your schedule, so please inform Vighter of your desired schedule and/or geographic limitations in advance.

Work Environment:

Location: Vighter Corporate HQs, San Antonio, TX Supportive team of healthcare professionals and administrative staff. Opportunity to work with diverse populations, including immigration and asylum personnel and underserved or asylum communities.

Travel:

As required to satisfy the contractual obligations. Commute is non-compensatory. All official travel is government-funded.

Benefits:

Competitive salary and comprehensive benefits package, with Medical, Dental, and Vision insurance available for W2 full time employees. Company-paid basic Life and AD&D insurance and subsidized health insurance (W2). Paid time off, sick leave and holidays. Professional development and promotion opportunities. SCA employees: Health & Welfare paid in cash (with proof of ACA-compliant health insurance from the open market or Vighter, LLC). Employee may use funds to offset any benefits premiums, fund their 401(k) retirement account or a combination of the two. Non SCA employees: Subsidized Health care premiums, aggressive 401(k) match with 90 day safe harbor, 100% vested in contribution and match.

Physical Requirements:

Must be able to sit for more than 8 hours per day. Must be willing to work overtime if necessary. Must be able to use an elevator or walk up and down stairs. Must be able to lift up to 40 pounds and carry up to 10 feet. Must be able to routinely grasp or handle objects, use finger dexterity, bend elbows/knees and reach above and below shoulders. Must be able to read and interpret handwritten and typewritten print. Must be able to communicate by voice and detect sound by ear. Must be able to perform duties in an indoor or outdoor environment. Must be able to pass a criminal background investigation. Must undergo Urine Drug Screening (UDS). Positions require applicants to be US Citizens, 21 years or older.  Must complete criminal background check and Child Abuse and Neglect (CAN) background check. 

Vighter LLC is an equal opportunity and affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Position is contingent upon contract award.

#IND2025

#zr

#vighter