Job Summary:

We are seeking a highly skilled Senior Data Engineer to join our innovative team. This role is crucial in driving data infrastructure and analytics integration within our organization. The ideal candidate will have a strong background in data engineering, software development, and data science, with a passion for solving complex problems and building scalable systems. 

You will work on the development, deployment, and optimization of data pipelines, data lakes, and databases, working closely with machine learning engineers, software development engineers, and stakeholders. Your expertise in advanced data practices will enhance customer experience and business operations. Additionally, you will collaborate with business partners to explore innovation opportunities and shape innovative applications. This role demands in-depth knowledge of data engineering, business strategy, and change management, along with the ability to thrive in a multidisciplinary environment.

This position is required to report to the SHI Austin, TX office location as determined by SHI management.

About Us:

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $14 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 6,000 of them. If you join our team, you’ll enjoy:

Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

Continuous professional growth and leadership opportunities.

Health, wellness, and financial benefits to offer peace of mind to you and your family.

World-class facilities and the technology you need to thrive – in our offices or yours. 

Responsibilities:

Include but are not limited to: 

Lead initiatives to develop and execute a governance model for data infrastructure and analytics

Design, develop, and implement data solutions, including data pipelines, data lakes, and databases

Ensure familiarity with AWS, Azure, Google Cloud, and big data technologies

Measure and communicate the impact of data initiatives on the business and drive continuous improvement

Analyze data and translate recommendations into actionable items for end users

Assess and monitor performance, ensuring systems remain compliant with standards and secure against cybersecurity threats

Lead complex, data-driven projects impacting SHI’s business

Explore and execute analytical solutions for various problems

Acquire, analyze, and act on complex data sets; create ETL jobs; explore, inspect, and clean data; engineer features

Implement and enforce data normalization practices to ensure database efficiency and integrity

Organize and lead meetings with stakeholders; collaborate with internal groups to achieve project goals

Stay updated on data science, big data, and cloud developments

Ensure data systems are scalable, reliable, and efficient; integrate data solutions with systems and platforms; optimize performance

Document design specifications, processes, models, and systems for transparency and reproducibility

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Engineering, Mathematics, or a related field

Minimum of 5 years of experience in data engineering, with exposure to software engineering best practices

2 years of direct experience using technologies like AWS, Azure, Google Cloud, and big data technologies

Demonstrated experience in developing and deploying data pipelines in production environments

Deep understanding of data structures, algorithms, and software design principles

Required Skills:

Proficiency in programming languages such as Python, Java, or Scala

Extensive experience with data engineering frameworks and libraries like Apache Spark, Hadoop, and Kafka

Solid understanding of software engineering principles, including version control (Git), testing, and CI/CD pipelines

Strong skills in data preprocessing, feature engineering, and data analysis using tools like Pandas and SQL

Expertise in SQL and data modeling, including data normalization and database optimization techniques

Proficiency with cloud platforms such as AWS, Azure, or GCP (Google Cloud Platform) for deploying and managing data solutions

Expertise in designing and supporting data pipelines, data lakes, and databases

Experience in analyzing business requirements, recommending, and designing technical solutions

Ability to write detailed and concise technical and design specifications

Excellent analytical and problem-solving skills, capable of handling complex projects and delivering effective solutions

Proficient in system security best practices

Adaptability to changing priorities; can conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities

Strong ability to work independently or in a team-oriented, collaborative environment

Ability to take initiative and prioritize tasks, manage time, problem prevention, and problem-solving skills

Preferred Skills 

Strong knowledge of big data technologies, including their architectures, processing techniques, and applications

Experience with containerization (Docker) and orchestration (Kubernetes)

Familiarity with deep learning architectures and techniques

Experience with system design and building large-scale distributed systems

Knowledge of specific domains such as data warehousing, ETL processes, or real-time data processing

Strong project management and leadership skills

Unique Requirements:

Position requires up to 10% of travel as determined by SHI Management

Additional Information:

The estimated annual pay range for this position is $120,000 - $180,000. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual.

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status.