Job Description
Job Description
Sr. Data Engineer, Remote
- Contract, potential for contract to hire
- 100% Remote
- NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED.
Background check requirements : US Citizenship or documented proof of eligibility to work in the US. Has been living in the US for at least the past 3 years. Successful candidate is subject to a background investigation by the government and must be able to meet the requirements to hold a position of Public Trust Disclaimer : Medical or recreational marijuana use is still considered illegal at the federal level, regardless of state laws allowing such, and may affect your ability to obtain Public Trust.
This position requires proficiency in SAS, Python & Apache Spark - meaningful experience is mandatory in all three areas.
Responsibilities
The Primary focus for this Senior Engineering position will be to support SAS transition priorities, create and / or convert existing SAS code to Spark.Optimize Spark jobs performance and resource usage, identifying and addressing bottlenecks and inefficiencies in backend systems.Design, develop, and maintain high-quality backend software components and services, ensuring functionality, performance, and scalability.Research and build proof of concepts in the data space.Write clean, well-structured, and maintainable code, adhering to established coding standards and best practices.Perform thorough code reviews, providing constructive feedback to peers and identifying potential risks or areas for improvement.Debug and resolve defects, proactively identifying and addressing potential issues before they impact users.Create and maintain comprehensive technical documentation.Actively participate in Agile ceremonies, such as stand-ups, sprint planning, and retrospectives, ensuring effective communication and collaboration across the team.Assist in the estimation, prioritization, and planning of development tasks, ensuring projects are delivered on time and within budget.Continuously evaluate and recommend new dataframe related technologies, frameworks, and tools, helping to drive innovation and keep the team up-to-date with industry trends.Engage in ongoing professional development to stay current with industry best practices, and share knowledge and insights with the team as appropriate.Assist in the implementation and maintenance of security, compliance, and governance policies within the AWS environment to ensure adherence to industry standards and regulatory requirements.Requirements
Strong experience with Apache Spark and Python.Bachelor's degree in Computer Science, Computer Engineering or related field.At least 10 years of experience in software development.AWS Experience (S3, EC2, Glue, Lambda, etc).Strong understanding of software design patterns, data structures, and algorithms.Experience with Agile development methodologies.Ability to work independently as well as in a team.Strong problem-solving and analytical skills.Strong verbal and written communication skills.Related experience in analytic programming, data extraction, querying databases / data warehouses and data analysis.DataBricks & R experience is highly preferredProfessional DataBricks / Apache Spark Certification(s) are highly preferred.Please Note :
Only those individuals selected for an interview will be contacted.No calls, inquiries, or Third-Party Vendors please.We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas).$1000 Referral Bonus - www.aci.com.Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.
