Mid-Level Data Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

RIT Solutions, Inc. · 4 months ago

Mid-Level Data Engineer

RIT Solutions, Inc. is a top-tier Management Consulting firm seeking a Senior Data Engineer to design, develop, and optimize large-scale data solutions. The role involves building and enhancing data pipelines, enabling efficient data movement, and supporting advanced analytics and reporting initiatives across business domains.

Staffing & Recruiting
check
H1B Sponsor Likelynote

Responsibilities

Lead the end-to-end design and development of data warehousing solutions to support enterprise-wide analytics
Develop and optimize ETL/ELT pipelines leveraging SQL, Hadoop, Spark, and Python
Ensure scalability, performance, and reliability of data systems
Mentor and guide junior engineers, providing technical leadership and code reviews
Collaborate with business stakeholders, architects, and analysts to translate requirements into robust data solutions
Work with Apache NiFi for data ingestion pipelines and explore automation opportunities
Contribute to cloud migration and adoption strategies, leveraging cloud-native data platforms (AWS, Azure, or GCP)
Ensure data quality, governance, and security standards are maintained across pipelines

Qualification

Data warehousing solutionsETL/ELT pipelinesSQLHadoopApache SparkPythonApache NiFiCloud-native data platformsStakeholder managementProblem-solving skills

Required

Lead the end-to-end design and development of data warehousing solutions to support enterprise-wide analytics
Develop and optimize ETL/ELT pipelines leveraging SQL, Hadoop, Spark, and Python
Ensure scalability, performance, and reliability of data systems
Mentor and guide junior engineers, providing technical leadership and code reviews
Collaborate with business stakeholders, architects, and analysts to translate requirements into robust data solutions
Work with Apache NiFi for data ingestion pipelines and explore automation opportunities
Contribute to cloud migration and adoption strategies, leveraging cloud-native data platforms (AWS, Azure, or GCP)
Ensure data quality, governance, and security standards are maintained across pipelines
5–7 years of experience in Data Engineering and Data Warehousing projects
Strong expertise in SQL and programming (Python or Java/Scala)
Solid hands-on experience in Hadoop ecosystem and Apache Spark
Good understanding of cloud concepts and modern data architectures
Strong problem-solving skills and ability to optimize performance in large datasets
Excellent communication and stakeholder management skills

Preferred

Exposure to Apache NiFi for data flow management is a strong plus

Company

RIT Solutions, Inc.

twitter
company-logo
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection).

H1B Sponsorship

RIT Solutions, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (2)

Funding

Current Stage
Growth Stage
Company data provided by crunchbase