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 UsSince 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. ResponsibilitiesInclude but are not limited to:
Lead initiatives to develop and execute a governance model for data infrastructure and analyticsDesign, develop, and implement data solutions, including data pipelines, data lakes, and databasesEnsure familiarity with AWS, Azure, Google Cloud, and big data technologiesMeasure and communicate the impact of data initiatives on the business and drive continuous improvementAnalyze data and translate recommendations into actionable items for end usersAssess and monitor performance, ensuring systems remain compliant with standards and secure against cybersecurity threatsLead complex, data-driven projects impacting SHI’s businessExplore and execute analytical solutions for various problemsAcquire, analyze, and act on complex data sets; create ETL jobs; explore, inspect, and clean data; engineer featuresImplement and enforce data normalization practices to ensure database efficiency and integrityOrganize and lead meetings with stakeholders; collaborate with internal groups to achieve project goalsStay updated on data science, big data, and cloud developmentsEnsure data systems are scalable, reliable, and efficient; integrate data solutions with systems and platforms; optimize performanceDocument 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 fieldMinimum of 5 years of experience in data engineering, with exposure to software engineering best practices2 years of direct experience using technologies like AWS, Azure, Google Cloud, and big data technologiesDemonstrated experience in developing and deploying data pipelines in production environmentsDeep understanding of data structures, algorithms, and software design principles Required Skills Proficiency in programming languages such as Python, Java, or ScalaExtensive experience with data engineering frameworks and libraries like Apache Spark, Hadoop, and KafkaSolid understanding of software engineering principles, including version control (Git), testing, and CI/CD pipelinesStrong skills in data preprocessing, feature engineering, and data analysis using tools like Pandas and SQLExpertise in SQL and data modeling, including data normalization and database optimization techniquesProficiency with cloud platforms such as AWS, Azure, or GCP (Google Cloud Platform) for deploying and managing data solutionsExpertise in designing and supporting data pipelines, data lakes, and databasesExperience in analyzing business requirements, recommending, and designing technical solutionsAbility to write detailed and concise technical and design specificationsExcellent analytical and problem-solving skills, capable of handling complex projects and delivering effective solutionsProficient in system security best practicesAdaptability to changing priorities; can conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilitiesStrong ability to work independently or in a team-oriented, collaborative environmentAbility to take initiative and prioritize tasks, manage time, problem prevention, and problem-solving skillsPreferred Skills
Strong knowledge of big data technologies, including their architectures, processing techniques, and applicationsExperience with containerization (Docker) and orchestration (Kubernetes)Familiarity with deep learning architectures and techniquesExperience with system design and building large-scale distributed systemsKnowledge of specific domains such as data warehousing, ETL processes, or real-time data processingStrong project management and leadership skillsUnique 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. Options Apply for this job onlineApplyShareRefer a friend to this jobRefer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed Need help finding the right job? We can recommend jobs specifically for you! Click here to get started. Application FAQs
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