RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Engineer in Washington, DC.
Responsibilities:
* Senior Data Engineer will collaborate closely with data scientists, software engineers, and other stakeholders to develop and implement data-driven solutions that transform transportation systems
* Architect and build scalable and efficient data pipelines and ETL processes to collect, process, and store large volumes of data, playing a crucial role in laying out the processes and foundations of our Data Engineering initiatives
* Optimize database structures and data models for performance and scalability
* Ensure data quality and integrity by implementing data validation and cleansing techniques
* Establishing policies, processes, and controls in data governance to ensure the integrity, quality, and security of data assets in a way that achieves regulatory compliance
* Work with cloud computing infrastructure to adequately scale data pipelines while actively maintaining cost efficiency and speed
* Research and evaluate emerging technologies, tools, and frameworks to enhance data engineering processes
* Adapt quickly to changing requirements and priorities in a startup environment
* As a Senior Data Engineer, you will mentor and guide junior engineers, fostering a culture of continuous learning and growth within the team
* Collaborate closely with cross-functional teams to align engineering efforts with product and business objectives
* Drive innovation and brainstorming sessions to tackle transportation engineering challenges and develop cutting-edge solutions
REQUIREMENTS:
* Bachelor's degree in Computer Science, Data Science, or a related field
* 7 years of experience in data engineering, preferably in a startup or fast-paced environment, with prior leadership roles
* Experience with cloud-based data platforms such as Snowflake and AWS
* Experience working with DBMSs such as PostgreSQL and MySQL
* Knowledge of data modeling, data warehousing, and ETL processes
* Understanding of data visualization concepts and tools
* Familiarity with extracting, analyzing, and mapping geospatial data and GIS systems
* Familiarity with distributed systems and big data technologies such as Apache Spark
* Strong proficiency in SQL (for DDL operations, DML operations, data architecture, etc.)
* Strong proficiency in Python and Jupyter (for exploratory data analysis, writing scripts, aggregating datasets, working with data scientists/GIS developers, etc.)
* Strong problem-solving and analytical skills
* Excellent communication and collaboration skills
* Ability to work independently and adapt to changing priorities
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.