Senior Data Engineer/ SQL SSIS

Sedgwick; Sioux Falls (SD); On-site; USD 111,000 - 200,000; Full time

Benefits offered by this job

Medical benefits

Dental & Vision

401k with match

Paid time off (PTO)

Job summary

Sedgwick is seeking a Sr. Data Engineer in Sioux Falls, SD, to design, build, and operate scalable data pipelines across on-prem and cloud environments. You will be a core Snowflake developer, shaping data models, semantic layers, and CI/CD practices for robust data platforms.

You will mentor junior engineers, drive dbt adoption, and evaluate Azure/AWS data tools to optimize data flow, with a focus on AI-ready data products.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering or related field preferred.
• 5+ years of dedicated data engineering experience building production-grade data pipelines.
• Advanced hands-on experience with Snowflake architecture, performance tuning, and data sharing.
• Experience moving data across hybrid environments (on-prem to cloud) using batch, streaming, and event-driven patterns.
• Experience building or maintaining semantic layers and structuring data for downstream AI / NLP capabilities.

Responsibilities

• Designs, builds, and maintains scalable data pipelines for batch, real-time streaming, and event-driven data movement.
• Core developer for the Snowflake data platform and supports platform performance and data modeling.
• Architects and builds transformation pipelines delivering high-quality data inputs to Snowflake and dbt AI features.
• Designs and maintains semantic layers and metadata models to support Self-Service 2.0 interfaces.
• Establishes reference architectures, reusable templates, and CI/CD best practices for decentralized teams.

Skills

Snowflake

dbt

Python

SQL

Azure Functions

Azure Data Factory

Stream Analytics

Data Modeling

CI/CD

Data Warehousing

Education

Bachelor’s degree in CS / Information Systems / Data Engineering or related field

Tools

Azure Data Factory

Azure Functions

Snowflake Cortex

dbt Semantic Layer

Job description

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top CompaniesCertified as a Great Place to Work®Fortune Best Workplaces in Financial Services & InsuranceSr. Data Engineer

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

• Designs, builds, and maintains scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources.
• Serves as a core developer for the Snowflake data platform and supports platform performance, data modeling, and storage structures.
• Architects and builds transformation pipelines that deliver high-quality data inputs to Snowflake and dbt AI features.
• Designs and maintains semantic layers and metadata models required to support Self-Service 2.0 natural-language user interfaces.
• Establishes reference architectures, reusable templates, and CI/CD best practices that enable decentralized line-of-business teams to build data products safely and consistently.
• Provides direct management and career mentorship to one data engineer, with potential for team growth, and guides decentralized data analysts in maturing their engineering practices.
• Drives adoption of dbt for data transformation and evaluates the integration of AWS and Azure cloud data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow.

ADDITIONAL FUNCTIONS and RESPONSIBILITIES

• Performs other duties as assigned.
• Supports the organization’s quality program(s).
• Travels as required.
• SUPERVISORY RESPONSIBILITIES~ Provides direct management and career mentorship to one data engineer, with potential for the team to grow.

QUALIFICATIONSEducation & LicensingBachelor’s degree in computer science, information systems, data engineering, or a related field from an accredited college or university preferred.Equivalent combination of education, professional certifications, and relevant work experience will be considered.

• Education & LicensingBachelor’s degree in computer science, information systems, data engineering, or a related field from an accredited college or university preferred.Equivalent combination of education, professional certifications, and relevant work experience will be considered.
• ExperienceFive (5)+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines, required.
• Advanced hands‑on experience with Snowflake architecture, performance tuning, and data sharing required.
• Experience moving data across hybrid environments, including on‑premises to cloud, using batch, streaming, and event‑driven patterns required.
• Experience building or maintaining semantic layers and structuring data for downstream AI, large language model, or natural-language search capabilities preferred.
• Skills & KnowledgeAdvanced knowledge of Snowflake architecture, performance tuning, data modeling, storage structures, and secure data sharing.
• Strong knowledge of scalable batch, real‑time streaming, and event‑driven data pipeline architecture.
• Experience with semantic layers, including dbt Semantic Layer and Snowflake Cortex or semantic definitions.
• Strong Python skills, particularly in cloud environments and Azure Functions used for data workloads.
• Strong SQL capabilities.
• Experience with dbt highly preferred.
• Experience with Azure data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, preferred.
• Familiarity with AWS data ecosystems preferred.
• Knowledge of reference architecture, reusable pipeline patterns, templates, and CI/CD practices.
• Collaborative coaching and leadership skills, with the ability to teach, establish governance, and strengthen engineering practices across cross‑functional teams.
• Strong analytical, problem‑solving, organizational, and communication skills.
• Ability to meet or exceed performance competencies.

WORK ENVIRONMENTWhen applicable and appropriate, consideration will be given to reasonable accommodations.

• When applicable and appropriate, consideration will be given to reasonable accommodations.
• Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines
• Physical: Computer keyboarding, travel as required
• Auditory/Visual: Hearing, vision and talkingAs required by law

Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is (110,956.00 - 155,338.00 - 199,720.00 USD Annual ). A comprehensive benefits package is offered including, but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits. (Include: “Always accepting applications.” - If evergreen nationwide, CO or onsite in CO.)

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.