About RIT Solutions
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Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Arlington, VA, US
$109.30K - $148.50K/yr
Other
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Job description
Senior Data Engineer
We are seeking a Senior Data Engineer to lead the design, development, and maintenance of scalable, high-performance data solutions focused on data centralization, governance, and integrity. This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services (BigQuery, Dataflow, Dataproc) to build automated, cost-efficient, and complex data pipelines. The ideal candidate will be a technical leader, making key architectural decisions, implementing robust data frameworks, and mentoring junior engineers. This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and analytics.
Key Requirements- Experience & Education:
- 5-6 years of experience as a Data Engineer or in a comparable business intelligence role.
- Bachelor of Science in information technology, computer science, or a related technical field.
- Cloud & Pipeline Expertise (Required):
- Proficiency with GCP (Google Cloud Platform) offering is required.
- Expertise in designing and building large-scale, automated data pipelines using GCP native services (e.g., BigQuery, Dataflow, Dataproc).
- Experience with Terraform to create and maintain intermediate to advanced infrastructure-as-code scripts is a plus.
- Database & Coding Skills:
- 4-5 years minimum experience with relational databases (MS-SQL, Postgres, or Oracle).
- 3-4 years of experience with NoSQL databases (Capella or MongoDB).
- 2-3 years of experience with Python or a similar language.
- Ability to work with multi-statement complex queries and enhance performance/troubleshoot issues.
- Architecture & Governance:
- Proven ability to make key architectural decisions related to data modeling, storage, and real-time processing.
- Experience assisting with data governance, quality, and lineage practices using tools like Data Catalog, DLP, or Cloud Audit Logs.
- Experience translating business requirements into technical design documents.
- Work Schedule & Location:
- Full-time onsite commitment required (Monday-Friday, 8a-5p), with remote flexibility for Fridays pending manager approval.
- Desired Experience (Bonus):
- Experience in the logistics or transportation industry (1-3 years).
- Proven ability to mentor junior engineers and provide technical guidance.
- Experience with monitoring and optimizing GCP resources for cost management.
ritsolinc.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Database Engineer?
A: To succeed as a Senior Database Engineer, key technical skills include expertise in database management systems (DBMS) such as MySQL, PostgreSQL, or Oracle, as well as proficiency in programming languages like SQL, Python, or Java. Additionally, soft skills like strong communication, problem-solving, and analytical abilities are crucial for collaborating with cross-functional teams, troubleshooting complex database issues, and making informed technical decisions. These strengths enable Senior Database Engineers to effectively design, implement, and optimize database solutions, driving business growth and career advancement through their technical expertise and leadership.
Q: What is the career path for a Senior Database Engineer?
A: A Senior Database Engineer's typical career progression involves starting as a Junior/Associate Database Engineer, progressing to a Database Engineer/Developer, and then advancing to a Senior Database Engineer, with key responsibilities including designing, implementing, and optimizing database systems. Along the way, they can develop skills in areas such as data modeling, query optimization, and database administration, as well as programming languages like SQL, Python, and Java, and cloud platforms like AWS and Azure. With experience and expertise, Senior Database Engineers can transition into leadership roles, such as Technical Lead or Database Architect, or pursue specialized areas like Data Science, Business Intelligence, or DevOps.