Why AIS?

When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

• Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.

• Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

• Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.

• Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

 

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

 

What you will be doing?

 

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded.

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Data Analytics Engineer.

• Core Knowledge & Skills: Optimizes complex SQL; applies advanced data modeling; leads robust ETL/ELT; uses big data technologies (e.g., Spark); enforces governance; implements ML/predictive solutions; manages scalable pipelines.

• Work & Complexity: Solves high-complexity integration and performance challenges; runs multiple projects; delivers custom analytics solutions and automation for scale.

• Quality & Independence: Sets benchmarks for data quality; drives continuous improvement; makes significant technical decisions with minimal oversight.

• Teamwork & Communication: Leads cross-functional work; mentors engineers; communicates complex insights to senior leaders; integrates multi-stakeholder feedback.

• Consulting & Engagement: Provides strategic consultation, leads client interactions, and advances consulting best practices.

As your initial project assignment, you will support the unique needs of our client as a Senior Data Analytics Engineer.

Project Summary

• Collaborate with cross-functional team members and other data professionals to define business goals and set parameters to measure analytic outcomes
• Work with data scientists, actuaries and other analytical colleagues to collect and clean data for analysis
• Design, develop and maintain the data models and other data products within the semantic layer.
• Design, develop and maintain data pipelines that are scalable, reusable and governed
• Create and maintain data storage systems within the semantic layer
• Develop and maintain documentation for all data products
• Ensures that all data assets are ready for analysis and decision-making

Key Responsibilities

Subject Matter Expertise

• Developing and Applying expertise
• You strengthen your depth and/or breadth of subject matter knowledge and skills across multiple areas.
• You define the expertise required in your area based on emerging technologies, industry practices. You build the teams capability accordingly.
• You apply subject matter knowledge and skills across multiple areas to assess the impact of complex issues and implement long-term solutions. You foster innovation using subject matter knowledge to enhance tools, practices, and processes for the team.

Solution Development

• Systems thinking
• You lead and foster collaboration across our Data Platform Technology to develop solutions to complex issues.
• You apply a whole systems approach to evaluating impact, and take ownership for ensuring links between structure, people and processes are made.
• Focusing on quality
• You instil a quality mindset to the team and ensure the appropriate methods, processes and standards are in place for teams to deliver quality solutions. You create and deliver improvement initiatives.

Technical Communication

• Simplifying complexity
• You develop tools, aids and/or original content to support the delivery and/or understanding of complex information. You guide others on best practice.
• Influencing stakeholders
• You are adaptive across a range of situations, effectively tailoring your delivery methods based on your knowledge of stakeholders to have maximum impact and influence.

Required For This Opportunity

• University or college degree in Computer Science, Information Systems, Mathematics, Engineering, Statistics, or related field of study.
• Proficiency in a modern data technology stack (e.g. Azure: Synapse, Fabric, ADF AWS: Redshift, Glue, Athena, etc.)
• Strong understanding in Apache Spark or other big data frameworks (e.g. Hadoop); distributed computing experience a plus
• Advanced SQL skills and experience with relational databases and database design
• Intermediate to Advanced level in Python; working knowledge within PySpark a plus
• Strong proficiency in data pipeline and workflow management tools (e.g. Airflow, ADF)
• Strong analytical skills and experience with data modelling
• Strong project management and organizational skills
• Proven ability to work independently and with a team

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $0-$0 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.