Manager Development

This Is the Place to Be:

Connecting Futures Now! DHI Group, Inc. is the parent company of career marketplaces, Dice and ClearanceJobs. We connect candidates with career advice, resources and ultimately a dream job. At DHI, creating a workplace that celebrates diversity and promotes inclusivity is embedded in the culture and values of our organization. This is the place to be, and we want you here with us.

You Belong Here:

Join a mission-driven company that prioritizes you. We are a supportive team that embodies our “One Team” value as we work together and win together. Voted as a certified Great Place to Work®, our team members feel their opinions count and are cared for by DHI. 92% of employees say DHI is a Great Place to Work – 35% higher than the average U.S. company. DHI’s culture of inclusivity is anchored by four pillars: diversity training, inclusive hiring practices, volunteering, and employee resource groups. You belong here!

About the team:

As part of our Data Engineering team, you will utilize your personal and professional knowledge and experience to work with stakeholders, engineering, and Product teams to take data requests, translate into data requirements and deliver valuable and efficient data solutions. This team plays a crucial role in DHI's corporate data reporting and ClearanceJobs.com product and customer reporting needs.

About the role:

In this role, you will lead and professionally develop a team of data engineers, cultivate processes and standards, and support the delivery of a data platform that impacts the entire company. The tech stack is currently built with Stitch, Airflow, Redshift, dbt, and Tableau as well as a few AWS specific tools.

Your career at DHI will be filled with exciting challenges and opportunities for growth. From onboarding and familiarizing yourself with our development environment to contributing to ongoing projects and building strong relationships with your team, every day will bring new learning experiences and chances to make a difference.

Why we’re hiring for this role:

The ClearanceJobs Data Engineering team brings the data and reporting needs of ClearanceJobs.com and DHI to life, providing an insightful experience on the ClearanceJobs platform for both candidates and employers.

In the short term you will:

In the first 90 days in the role, you will accomplish several key milestones:

• Onboarding and Familiarization: Understand the company's development environment, tools, processes, and coding standards. Get to know your team members and their roles.
• Understanding the Product: Familiarize yourself with the product or projects you'll be working on. Understand the user base, key features, and the overall goal of the application.
• Codebase Familiarization: Dive into the existing codebase. Understand the architecture, design patterns, and coding conventions used in the project.
• Contribution to Ongoing Projects: Work on smaller tasks or bug fixes to get acquainted with the codebase and development workflow.

In the long term you will:

• Learning and Skill Development: Identify areas for improvement in your development and leadership skills and start learning. This could involve learning new skills, frameworks, or tools that are relevant to your teams and projects.
• Setting Goals: Set short-term and long-term goals for your role and the team. Discuss these goals with your manager to ensure alignment with the team's objectives.
• Building Relationships: Build relationships with your team members, stakeholders, and other departments you'll be collaborating with. Communication is key to a successful team dynamic.
• Feedback and Improvement: Seek feedback from your peers and manager regularly. Use this feedback to improve your skills and performance.
• Contribution to Process and Product Improvement: As you become more familiar with the projects and processes, look for opportunities to suggest improvements in development processes or tools that could benefit the team
• Documentation and Knowledge Sharing: Document your work and share your knowledge with the team. This could include writing documentation, giving presentations, or conducting code reviews.

What you bring to the team:

• Research latest trends, strategies and emerging technologies for data solutions and contribute to the technical vision.
• Leadership, collaboration, and a strong ability to create positive relationships across departments.
• Experience with coding, testing, debugging, documenting, and implementation of complex software applications. Create complex prototypes and ensure deliverables are high quality and meet user expectations. Support system and integration testing activities. Initiate design reviews for new dashboards and reports and adhere to software development standards.
• Work with product owners and designers to understand and implement requirements in high quality dashboards and reports.
• Oversee and contribute to the documentation of production support processes. Anticipate long term support issues and plans for corrective actions. Collaborate with support teams to ensure complex issues are resolved in a timely manner.

Required:

• Excellent knowledge of tenants of SQL Performance tuning, best practices for SQL, aggregate and window functions, differences between major SQL dialects Expertise building apps that communicate with RESTful and GraphQL services
• Familiar with Python for writing data extraction and integrations jobs
• Familiarity with cloud-based data engineering (AWS, GCP, or Azure)
• Exceptional ability to translate and communicate between business and technical domains
• Excellent communication skills individually and in groups, orally and in writing
• Experience with data warehousing architecture and implementation, including hands on experience developing ETL or ELT pipelines
• Experience managing technical teams
• Experience with the practice of analytics engineering utilizing tools like dbt
• Experience applying DevOps practices to data engineering, including automated testing, and deployment of database changes using a continuous integration pipeline.
• Oversee development, QA, and lifecycle of data analytics models in dbt and visualizations in Tableau

Preferred:

• Experience working with Jira Software or other development management tools
• Experience with Agile product development lifecycle from requirements gathering and documentation to delivery and ongoing support.
• Experience with Linux, shell scripting, and containerized workloads using Docker