| Title: | Data Engineer |
|---|---|
| ID: | 1759 |
| Security Clearance Requirement: | Secret |
| Location: | 100% Remote |
| Employment Type: | Full Time |
At Imagine Believe Realize, LLC we are driven by innovation, transformation and a relentless pursuit of excellence. As an industry leader delivering impactful results, we thrive on solving complex technical challenges and developing cutting-edge solutions that empower our customers and advance critical missions.
IBR is a fast-growing company fueled by passion, curiosity, and innovative thinking – where every team member has the opportunity to continuously learn, unlock their full potential, and redefine what is possible in engineering and technology. If you are inspired by innovation, eager to make a difference, and ready to bring your creativity and expertise to a mission-focused team, we invite you to join us and together, we will shape the future. Let’s Make It Real!
The Data Engineer must be able to meet the key criteria below:
Location: 100% remote
Years' Experience: 5+ years professional data engineering experience
Education: Bachelors in IT related field
Security Clearance: Must currently hold an active Secret security clearance as mandated by the government program.
Employment Type: Full Time
Work Schedules: IBR promotes work-life balance by offering flexible scheduling options. Standard business hours are aligned to the Eastern Time Zone.
Key Skills:
- 5+ years of IT experience focusing on enterprise data architecture and management to include data flow charts, diagrams, and other technical documentation.
- Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables required
- Python development experience required
- Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services, and the ability to incorporate Python as required.
- Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization)
- Proficiency using Git for version control, including repository management, branching, merging, and pull requests
- Active CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to begin supporting the program.
Overview
Do you want to help build a portfolio of next-generation data collection systems and enterprise portals? As a Data Engineer at IBR, you will support the Agile based engineering of robust, secure, and scalable enterprise web portal solutions hosted in AWS. This position will work closely with the solutions delivery team to support the operations team performing Deployment, Systems Integration Testing, and Operations & Maintenance activities.
Responsibilities
- Plan, create, and maintain data architectures, ensuring alignment with business requirements
- Obtain data, formulate dataset processes, and store optimized data
- Identify problems and inefficiencies and apply solutions
- Determine tasks where manual participation can be eliminated with automation.
- Identify and optimize data bottlenecks, leveraging automation where possible
- Create and manage data lifecycle policies (retention, backups/restore, etc)
- In-depth knowledge for creating, maintaining, and managing ETL/ELT pipelines
- Create, maintain, and manage data transformations
- Maintain/update documentation
- Create, maintain, and manage data pipeline schedules
- Monitor data pipelines
- Create, maintain, and manage data quality gates (Great Expectations) to ensure high data quality
- Support AI/ML teams with optimizing feature engineering code
- Expertise in Spark/Python/Databricks, Data Lake and SQL
- Create, maintain, and manage Spark Structured Steaming jobs, including using the newer Delta Live Tables and/or DBT
- Research existing data in the data lake to determine best sources for data
- Create, manage, and maintain ksqlDB and Kafka Streams queries/code
- Data driven testing for data quality
- Maintain and update Python-based data processing scripts executed on AWS Lambdas
- Unit tests for all the Spark, Python data processing and Lambda codes
- Maintain PCIS Reporting Database data lake with optimizations and maintenance (performance tuning, etc)
- Streamlining data processing experience including formalizing concepts of how to handle lake data, defining windows, and how window definitions impact data freshness.
Qualifications
- 5+ years of IT experience focusing on enterprise data architecture and management
- Must have an active Secret security clearance
- Bachelor degree required
- CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to begin supporting the program.
- Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling
- Experience with Databricks and Python Development, Structured Streaming, Delta Lake concepts, and Delta Live Tables required
- Additional experience with Spark, Spark SQL, Spark DataFrames and DataSets, and PySpark
- Data Lake concepts such as time travel and schema evolution and optimization
- Structured Streaming and Delta Live Tables with Databricks a bonus
- Knowledge of Python (Python 3.X) for CI/CD pipelines required
- Familiarity with Pytest and Unittest a bonus
- Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support
- Advanced level understanding of streaming data pipelines and how they differ from batch systems
- Formalize concepts of how to handle late data, defining windows, and data freshness
- Advanced understanding of ETL and ELT and ETL/ELT tools such as SSIS, Pentaho, Data Migration Service etc
- Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermark, etc.
- Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus
- Understanding of streaming data pipelines and batch systems
- Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness
- Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization)
- Indexing and partitioning strategy experience
- Debug, troubleshoot, design and implement solutions to complex technical issues
- Experience with large-scale, high-performance enterprise big data application deployment and solution
- Understanding how to create DAGs to define workflows
- Familiarity with CI/CD pipelines, containerization, and pipeline orchestration tools such as Airflow, Prefect, etc a bonus but not required
- Architecture experience in AWS environment a bonus
- Familiarity working with Kinesis and/or Lambda specifically with how to push and pull data, how to use AWS tools to view data in Kinesis streams, and for processing massive data at scale a bonus
- Experience with Docker, Jenkins, and CloudWatch
- Ability to write and maintain Jenkinsfiles for supporting CI/CD pipelines
- Experience working with AWS Lambdas for configuration and optimization
- Experience working with DynamoDB to query and write data
- Experience with S3
- Experience working with JSON and defining JSON Schemas a bonus
- Experience setting up and management Confluent/Kafka topics and ensuring performance using Kafka a bonus
- Familiarity with Schema Registry, message formats such as Avro, ORC, etc.
- Understanding how to manage ksqlDB SQL files and migrations and Kafka Streams
- Ability to thrive in a team-based environment
- Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level of management
- Proficiency using Git for version control, including repository management, branching, merging, and pull requests
- Repository setup and management
- Branching strategies (feature, develop, main)
- Merging and resolving conflicts
- Creating and reviewing pull requests
- Commit best practices (clear messages, atomic commits)
- Tagging and release management
Application Deadline:
Applications will be reviewed as received and accepted on a continuous basis until the position is filled. Early application is strongly encouraged.
Physical Demands and Work Environment
This role primarily involves sedentary work, in a workplace and/or home office environment. There are some physical demands associated with the role, including:
- Extended periods of sitting and working at a computer workstation.
- Occasional lifting and carrying of equipment or materials weighing up to 20 pounds.
- Occasional travel to client sites or meetings may be required.
- Work may need to be performed in a fast-paced environment requiring quick decision making.
- Flexible work arrangements may be available based on business needs.
- Will be exposed to a wide variety of clients in differing functions, personalities, and abilities.
Benefits and Compensation Information
Imagine Believe Realize, LLC (IBR) is focused on delivering software and systems engineering solutions to government and commercial clients. Our talent acquisition strategy is designed for career-minded professionals that value continuous learning and growth. We strive to enhance our team members’ ability to thrive in the workplace by creating a proper work/life balance and first-class benefits package that includes:
- Nationwide medical, dental, and vision insurance
- 3 weeks of Paid Time Off and 11 Paid Federal Holidays
- 401k matching
- Life Insurance, Short-Term Disability, and Long-Term Disability at no cost to our employees
- Supplemental insurance options
- Flexible spending accounts and Dependent Care spending accounts
- Wellness incentives
- Reimbursement for professional development and certifications
- Access to training assistance opportunities to support career growth and progression
- Hybrid and Remote work opportunities to support work-life balance
The expected salary range for this position is $120,000 – $145,000 USD annually. This is a good-faith estimate and not a salary guarantee as compensation may vary based on factors such as experience, education, skills, associated role responsibilities, applicable contractual requirements, and geographic location.
Apply Today
If you are ready to grow your career and make an impact, then we encourage you to apply today by submitting an application. We welcome you to explore additional job opportunities listed on our careers page https://teamibr.applicantstack.com/x/openings.
Applicants who require alternative assistance with the application or interview process may request reasonable accommodations by contacting us using the contact information provided below:
info@teamibr.com
407.459.1830
Compliance and Regulatory Statements
Equal Employment Opportunity (EEO) Statement
Imagine Believe Realize, LLC is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics such as race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, creed, age, national origin, disability (including pregnancy, childbirth, or related medical conditions), marital status, veteran status, or any other applicable legally protected class in accordance with federal, state, and local laws.
Affirmative Action
As a federal contractor, Imagine Believe Realize, LLC takes affirmative action to employ and advance in employment qualified minorities, women, protected veterans, and individuals with disabilities.
Individuals with Disabilities
Imagine Believe Realize, LLC is committed to providing equal opportunity to qualified individuals with disabilities and to making reasonable accommodations to enable them to apply for positions and perform their jobs. If you require an accommodation during the application or interview process, please contact Human Resources at info@teamibr.com.
Protected Veterans (VEVRAA)
Imagine Believe Realize, LLC actively seeks to employ and advance qualified protected veterans in compliance with the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA).
Pay Transparency Nondiscrimination Provision
Imagine Believe Realize, LLC will not discharge or otherwise discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action (including an investigation conducted by the employer), or (c) consistent with the contractor’s legal duty to furnish information.
Right to Work / Employment Eligibility
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form (Form I-9).

