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NISC · 2 hours ago

Team Lead Platform Development - Data Engineering

Mandan, ND

Full-time

Onsite

Senior Level

5+ years exp

NISC is a company that has developed and implemented enterprise-level software solutions for utilities and broadband services across North America. They are seeking an experienced Team Lead for Data Engineering to oversee the strategy, delivery, and continuous improvement of data models and pipelines, ensuring high standards for data quality and governance.

ComputerSoftware

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Directly lead, coach, and develop the data engineering team by conducting regular 1:1s, performance feedback sessions, skills development, and succession planning

Champion NISC’s Shared Values to foster engagement, trust, innovation, and cross-functional teamwork

Recruit and onboard talent; mentor and enable team members to grow into subject matter experts

Ability to demonstrate composure and think analytically in high-pressure situations

Own the Data Engineering roadmap; translate business outcomes into clear objectives, backlog items, and delivery plans

Partner with Product Owners, Executive, and Design teams to understand value drivers and define data requirements, business logic, and use cases

Establish and track KPIs/SLAs for model accuracy, pipeline reliability, freshness/latency, and data usability

Architect, build, and optimize scalable data pipelines across Databricks/Delta Lake, AWS services (e.g., S3, Lambda, EMR, EC2, CloudWatch), and streaming frameworks (Spark/Kafka)

Assemble large, complex datasets meeting functional/non-functional requirements; drive automation, resiliency, and cost efficiency

Provide example queries and reference data; collaborate with developers, Data Analysts and DBAs to meet access/security, compliance/PII, frequency/latency, and schema requirements (e.g., Unity Catalog)

Create data tools and curated assets that accelerate analytics, data science, and product teams

Partner with Data Services teams across the company to operationalize advanced data needs and analytical workflows

Maintain constant communication and collaboration across teams and stakeholders; facilitate agile ceremonies

Identify, design, and implement internal process improvements: automate manual processes, optimize data delivery, and re-architect for scale

Collaborate on best practices and standards for Data Engineering at NISC

Perform root cause analysis and problem-solving on internal/external data and processes

Leverage generative AI tools and technologies to enhance productivity, creativity, and problem-solving within the scope of the role

Create and maintain a culture of engagement and one that is conducive of NISC’s Statement of Shared Values

Commitment to NISC’s Statement of Shared Values

Other duties as assigned

Qualification

DatabricksAWSData EngineeringSQLPythonDelta LakeSparkKafkaAnalytical SkillsLeadershipCollaborationCommunication

Required

3–5+ years leading technical teams (data analytics/engineering) with a track record of delivering complex data initiatives

Strong verbal and written communication skills; ability to influence and align stakeholders

5+ years in data engineer related roles analyzing requirements and building data pipelines for multiple functional domains

Hands-on experience with Databricks and Delta Lake; understanding of Data Warehouse and Lakehouse paradigms

Proficiency in SQL and experience with Python

Experience building and optimizing pipelines and workflows using AWS (Lambda, S3, SQS/SNS, CloudWatch, EMR, EC2) and Spark/Kafka

Knowledge of message queuing, stream processing, and scalable data stores

Strong analytical skills working with structured and unstructured datasets; root cause analysis expertise