Data Engineer
Location: Austin, TX
Job Type: Contract
Company: IDR
Category: Databases
Job Description Apply Now
Are you passionate about designing scalable data solutions and eager to make a significant impact in the world of payments and commerce? We are seeking an experienced Data Engineer to join a leading technology organization and contribute to building modern data architectures that power innovative financial and commercial products. This full-time opportunity is available in dynamic technology hubs, offering exposure to pioneering advancements in analytics, machine learning, and data pipeline development.
As a Data Engineer, you will play a vital role in crafting and maintaining robust data systems. You will collaborate with cross-functional teams to develop high-performance data pipelines, implement efficient ETL/ELT workflows, and ensure the integrity and reliability of business-critical data. Your focus will be on supporting advanced analytics and machine learning initiatives, helping to drive the future of digital payments and commerce solutions.
The Data Engineer position requires a blend of technical expertise, analytical thinking, and a commitment to data quality and governance. Your work will enable the organization to harness the power of data, unlocking new insights and supporting the creation of next-generation products. You will be instrumental in shaping the data infrastructure that underpins a suite of industry-leading Wallet, Payments, and Commerce offerings, ensuring that data is accessible, reliable, and optimized for performance and cost efficiency.
Joining our team provides a unique opportunity to work in an environment that values innovation, collaboration, and professional growth. You will be part of an organization recognized for its commitment to employee well-being and ongoing development, with access to comprehensive benefits and a supportive management structure. If you are ready to advance your career as a Data Engineer and contribute to cutting-edge technology projects, we encourage you to apply now using the job application button.
Data Engineer - Summary- Design and scale modern data architectures for industry-leading Wallet, Payments, and Commerce solutions.
- Develop high-performance batch and near-real-time data pipelines to support analytics and machine learning initiatives.
- Implement and optimize ETL/ELT workflows for performance and cost efficiency.
- Ensure data governance, privacy, and reliability across all data systems.
- Work collaboratively with cross-functional teams to deliver robust and scalable data infrastructure.
- Design, build, and maintain scalable data pipelines for batch and streaming data processing.
- Develop and implement dimensional data models to standardize business metrics and facilitate reporting.
- Optimize data workflows for cost and performance using modern ETL/ELT tools.
- Collaborate with data scientists, analysts, and product teams to deliver data solutions that support advanced analytics and machine learning capabilities.
- Monitor and ensure the reliability, privacy, and security of all data architectures.
- Document data processes, workflows, and best practices to maintain high standards of data quality.
- Stay up-to-date with industry trends and emerging technologies in data engineering.
- Competitive compensation packages reflective of experience and market standards.
- Comprehensive benefits including medical, dental, vision, and life insurance.
- Employee Stock Ownership Program (ESOP) for long-term financial growth.
- Access to a dedicated engagement manager focused on employee success and satisfaction.
- Opportunity to work with an award-winning organization recognized for excellence in staffing and employee care.
- Minimum of 6 years of experience in data engineering with a focus on analytics or machine learning systems.
- Advanced proficiency in SQL for data manipulation and analysis.
- Programming experience in Python, Scala, or Java.
- Hands-on expertise with modern data engineering tools such as Spark, Kafka, and Airflow (or similar orchestration platforms).
- Strong understanding of data modeling concepts and lakehouse architectures (e.g., Iceberg).
- Demonstrated ability to ensure data quality, privacy, and governance.
- Proactive problem solver with a keen attention to detail and a passion for optimizing data processes.
- Excellent communicator who thrives in collaborative, cross-functional environments.
- Adaptable and eager to learn new technologies and best practices in data engineering.
- Committed to upholding high standards of data privacy, security, and governance.
- Driven to support innovative products and participate in the development of cutting-edge analytics and ML solutions.
- Becoming a Data Engineer with our organization means joining a team dedicated to professional growth, innovation, and operational excellence.
- Our company values diversity and inclusion, fostering a supportive environment for all employees.
- Recognized for over 25 years of industry leadership and awarded for excellence in staffing and employee engagement.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. IDR is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite employees to voluntarily self-identify their race or ethnicity, gender, and veteran status (if applicable). Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. You may access this form here.
If you are ready to take the next step in your data engineering career, click the job application button to apply now and join our innovative team!