Senior Data Engineer

IntelliTech is seeking experienced Data Engineers to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our client's data infrastructure and systems. Your expertise in Python, and SQL along with experience working with data integration tools and frameworks like Databricks, Apache Spark, and other ETL tools will be essential in ensuring efficient data processing and analysis. Responsibilities Collaborate with cross-functional teams are also important, as the role involves working closely with data scientists, analysts, and software developers. Developing, maintain, and optimize data pipelines that connect various systems and databases. Design, implement, and troubleshoot data integration solutions to meet the data needs. Requirements DoD Secret / Top Secret clearance is required ; Minimum of 4 years of demonstrated experience with data integration tools like Databricks, or similar platforms to design and manage data pipelines. Strong coding skills in languages such as Python, Java, or SQL to develop and maintain data connection scripts, transformations, and data manipulation. Solid understanding of various database systems (relational and NoSQL), data modeling, and query optimization techniques Minimum of 4 years of demonstrated experience with ETL processes, including data extraction from various sources, data cleansing and loading into destination systems. Familiarity with working with APIs to connect and exchange data between different systems and applications. Proficiency in cloud platforms like AWS, Azure, or Google Cloud for setting up and managing data pipelines in a cloud environment. Knowledge of version control systems like Git to manage and track changes to code and configurations. Understanding of data security best practices and experience implementing encryption, authentication, and authorization mechanisms in data connections Ability to diagnose and resolve issues in data pipelines, including identifying bottlenecks, data quality problems, and performance optimization. Skill in setting up monitoring and logging systems to track the health and performance of data pipelines and detect anomalies. Effective communication and teamwork skills to collaborate with data scientists, analysts, and software engineers in cross-functional projects. Strong problem‑solving skills to identify root causes of data integration challenges and devise effective solutions. Experience with automating data integration processes and managing them through continuous integration and continuous deployment (CI/CD) pipelines. Basic project management skills to plan, prioritize and execute data connection projects efficiently. Ability to learn and adapt to new technologies, tools, and techniques as the field of data engineering evolves. Excellent communication and collaboration skills, with the ability to work effectively with cross‑functional teams. Detail‑oriented mindset with a commitment to delivering high‑quality results. Must be in the Washington D.C Metro Area 2-3 days per week or on an as‑needed basis. Nice to Have Recent DoD or IC‑related experience. Interview Requirements Video Interview – Yes (may include technical assessment) Interview Prep Candidates should be prepared to clearly articulate their experience creating data‑related software applications from scratch (Recent evidence of this should be easily identifiable in their resume). Candidates should be prepared to clearly articulate data problems that their applications have solved in their past. Candidates should be prepared to discuss what technologies they have hands‑on experience with and demonstrate in‑depth understanding of those technologies during the technical assessment. Candidates should be prepared to clearly articulate their experience working with very large data sets/Big Data, like that of large federal agency. Candidates should be prepared to clearly articulate their proficiency with data and software‑related programming languages and explain their thought processes related to problem solving. Candidates should be prepared to discuss their availability to travel to the Washington, D.C, Metro Area. Fully Remote Option Fully remote work schedules are not available at this time. Clearance Sponsorship We will only consider candidates that currently possess an active interim Secret security clearance or higher at this time. Must be a U.S. Citizen. Pay Range and Benefits IntelliTech is committed to fair and equitable compensation practices. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. IntelliTech provides comprehensive benefits and perks that meet the needs of our employees, including health/dental/vision insurance, 401(k) matching, paid time off, professional development opportunities, and flexible work arrangements to support work‑life balance. About IntelliTech IntelliTech is a dynamic and forward‑thinking small, disadvantaged minority‑owned business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our unwavering mission is to empower both government and commercial clients to overcome their most complex technical hurdles. With a dedication to innovation and excellence, we're here to make the impossible possible for our clients. Equal Opportunity Statement At IntelliTech, we are committed to creating a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply. #J-18808-Ljbffr