Senior data engineer

Job Details:

Job Location: FEMA EDAMI - Washington, DC

Position Type: Full Time

Salary Range: $120000.00 - $150000.00 Salary/year

Travel Percentage: None

TIAG is now hiring a Senior Data Engineer to join our team supporting the Federal Emergency Management Agency (FEMA). To address FEMA’s data and analytics gaps, the Office of Policy and Program Analysis (OPPA) established the Enterprise Data and Analytics Modernization Initiative (EDAMI) Program to create an enterprise analytics capability by making improvements in people, process, and technology. This role is primarily remote.

The Senior Data Engineer is responsible for coordinating, communicating, and executing to provide comprehensive data migration, engineering solutions, and source system integration support to deliver mission needs through a focused effort on creating a strong cadre of subject matter experts, streamlined and re-engineered business processes, and development and delivery of a new IT system supporting a greater enterprise data analytics business capability.

The ideal candidate for this position will possess a wide range of data engineering skills including technical, analytical, and communication skills that can support FEMA in its effort to develop, design, and implement innovative data strategies and solutions. The candidate must possess a strong understanding of data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.

In this position, you will work with data (raw, structured, unstructured) to identify opportunities to make improvements, identify correlations, patterns or trends that support data driven decision making. Additional responsibilities include:

• Creating effective technological solutions for working with and improving processes and systems with big data, using automation where possible.
• Data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.
• Conduct complex data analysis and report on results.
• Analyze and organize raw data, build data systems and pipelines, build algorithms and prototypes.
• Prepare data for prescriptive and predictive modeling.
• Evaluate business needs and objectives, interpret trends and patterns.
• Supports the development of tools, workflows, or other analytical products that support data management initiatives and/or increase program efficiencies.
• Work with business lines to identify patterns and relationships across a variety of data sets and communicate the technical data assessment to non-technical individuals, communicate and work with individuals and groups in a constructive and collaborative manner.
• Providing relevant data-related reports to leadership and key stakeholders for decision-making, action planning, and continuous improvement.
• Providing technical assistance and building understanding among partners about the effective use of data engineering.
• Work with the team to identify and resolve technical debt to improve the team’s throughput.
• Identifies and resolves problems and/or issues.
• Assures quality of task products, services, and deliverables, including participating in reviews, audits, and site visits.
• Prepare, analyze, and brief recommendations for new technical approaches and technologies to sustain mission success.
• Perform job responsibilities under Agile project methodologies.
• Documents technical deliverables, provide training and complete/review other technical documents as required.
• Support new business proposals and contract performance details by preparing technical past performance references, approach-based solutions and supporting color team reviews.

Qualifications:

• Bachelor’s degree in computer science or similar technical area desired.
• Eight (8) years of technical experience in support of data engineering and/or data warehouse programs.
• Three (3) years executing Agile IT execution methodologies and implementation to include sprint planning, retrospectives and agile tools such as Azure Dev Ops, Jira, etc.
• Direct experience supporting FEMA is a strong preference.
• Experience with cloud technologies (Azure), data science, machine learning, decision support tools and programming technologies such as Python, Spark and SQL Scala.
• Databricks Certified Data Engineer Associate, equivalent certification, or equivalent experience to qualify as a contractor capable of migrating source system data into a Databricks Serverless SQL environment highly desired.
• Growth minded individual with strong desire for supporting a diverse variety of efforts.
• Experience supporting proposal development activities desired.
• Must have the ability to manage and ensure the successful completion of multiple technical tasks in assigned project(s).
• Maturity, high judgment, negotiation skills, ability to influence, analytical talent and leadership are essential to success in this role.
• Position requires an active Public Trust at minimum to be considered.

TIAG is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a), and 41 CFR 60-741.5(a) and employment decisions shall be based solely on merit and without regard disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. TIAG takes proactive steps to employ and advance in employment qualified individuals without regard to disability or protected veteran status. The parties also agree that, as applicable, they will abide by the requirements and may be subject and required to take action pursuant to the following laws and accompanying regulations: The Vietnam Era Veterans Readjustment Assistance Act of 1974, as amended (and its implementing regulations at 41 C.F.R. 60-300); Section 503 of the Rehabilitation Act of 1973, as amended (and its implementing regulations at 41 C.F.R 60-741); and Executive Order 13496 (and its implementing regulations at 29 C.F.R. part 471, Appendix A to Subpart A).