Insights Data Engineer
USA-GA-Alpharetta-1500BluegrassLakesPkwy, United States
Scientific Games
Scientific Games:
Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.
Position Summary
Location: Atlanta
Remote Hybrid Role
* Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. *
The Insights Data Engineer will play a pivotal role in our Analytics & Insights group, contributing to the development and maintenance of robust data infrastructure and pipelines. This position will be responsible for designing, implementing, and optimizing data processing workflows to support the organization's data-driven initiatives. The ideal candidate will possess strong technical skills, a deep understanding of data integration strategies, and the ability to collaborate with cross-functional teams. The data engineer will be responsible for integrating data from heterogeneous systems, each with highly unique structures and formats. This requires the ability to handle diverse data ecosystems, tailoring data processing approaches to the specific requirements of each source. Extensive experience with SQL Server, Python, and AWS is preferred. We are looking for a problem solver that can think critically and provide solutions utilizing industry best practices as needed to our many stakeholders.
Key Responsibilities
- Independently design, develop, and optimize data processing pipelines for both batch and real-time data.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and ensure effective data flow.
- Implement ETL/ELT processes to ingest and transform data from various sources into usable formats while ensuring data quality and integrity throughout the process.
- Implement database design principles for efficient data retrieval and storage.
- Develop and maintain workflow automation systems to orchestrate data processing tasks.
- Collaborate with other teams to integrate data processing workflows into broader business processes.
- Implement and manage security measures to protect sensitive data, including access controls and encryption.
Required Skills and Experience
- Highly proficient with relational databases, specifically SQL Server.
- Proficient with data processing and ETL/ELT methodologies and tools.
- Familiarity with AWS tools (Redshift, Glue, Athena, Lambda, etc.)
- Demonstrated commitment to continuous learning, improvement, and staying abreast of emerging data technologies.
- Proven ability to analyze complex problems, identify appropriate solutions, and implement them effectively.
- Must have a mentality that aligns with continuous learning, improvement, and personal growth.
- Must have attained at least a bachelor’s degree from an accredited university.
Qualifications
Education
Bachelors degree in related field.
Years of Related Experience
Years of experience 2 to 5 years.
Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and ability to adjust focus working with computer and business equipment.
Work Conditions
Scientific Games, LLC and its affiliates (collectively, “SG”) are engaged in highly regulated gaming and lottery businesses. As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Data Analytics Data quality ELT ETL Lambda Pipelines Python RDBMS Redshift Security SQL
Perks/benefits: Career development
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