Databricks Data Engineer

Horizon Industries Limited (Horizon) is a dynamic IT and Management Consulting firm based in the Washington, DC area. Founded in 1996, Horizon Industries Limited (Horizon) has evolved into a company of highly qualified professionals that provides full-cycle IT Consultant and Management support in both the private and public sectors.

Horizon’s culture is based on our core values, and we PRIDE ourselves on a diverse, employee, and family-centric approach.

We are seeking a Databricks Data Engineer for a full-time position supporting our various clients

We are committed to your growth and success in the IT software development industry. We are looking for a Databricks Data Engineer ready to assume leadership responsibilities in a supportive team environment focused on your success as a function of client success.

• Build end-to-end implementation of multiple ETL/ELT pipelines, demonstrating efficient data transformation and ingest patterns to move raw data from data producers to an enterprise data ecosystem, with a focus on performance and reliability
• Assess and understand the ETL jobs, workflows, BI tools, and reports
• Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
• Experience in crafting database / data warehouse solutions in the cloud (Preferably AWS, Azure, Alternatively GCP)
• Key must have skill sets – Python, SQL, Databricks, AWS Data Services
• Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience manipulating, processing, and extracting value from large, disconnected datasets
• Experience manipulating structured and unstructured data for analysis
• Experience with data modeling tools and processes
• Experience aggregating and transforming data from multiple datasets to create data products
• Support an Agile software development lifecycle

• Ability to hold a position of public trust with the US government.
• S. in Computer Science or equivalent
• 4+ years' experience in data engineering and big data. At least 2 years' of professional services experience interacting directly with clients.
  • Big data tools: Hadoop, Spark, Kafka, etc.
  • Relational SQL and NoSQL databases and experience working with relational databases
  • AWS cloud services: EC2, S3, RDS, Glue, Step Functions, Lamda, EMR, DynamoDB, DocumentDB, Redshift, Aurora, Athena
  • Data Platforms: Databricks
  • Data streaming systems: Batch,Kafka, Storm, Spark-Streaming, etc.
  • Languages: Python, R, Scala, Go
• Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
• Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks **a must
• Data modeling and database design skills and knowledge of version control
• Excellent verbal and written communication skills
• Experience architecting scalable and fault-tolerant data solutions across Azure, AWS, and Databricks
• Databricks Data Engineer Professional certification a plus.
• Preference for candidates with Databricks Professional certifications

Education:  Bachelor’s degree in a technical field such as software engineering, engineering, computer science, etc.

Location : Horizon is headquartered in the heart of Tyson’s Corner, VA. Occasional travel may be required.

• A comprehensive benefits package including healthcare (medical, dental, vision and disability)
• a 401k program where you are 100% vested from day one with an employer match after 90 days.
• an Educational Assistance program.
• a Student Loan Repayment Program
• Gym Reimbursement Program.
• Paid Time off
• Dynamics, passionate, multi-disciplinary team of creative minds to work with, and many more.

Horizon is an Equal Employment Opportunity employer, and it is our policy to consider all applicants for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.  

EOE/Vet/Disabled