Senior Data Engineer

Core Specialty; Dallas, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Employee Assistance Plan

Health Savings Account

Flexible Spending Account

Health Reimbursement Account

Wellness program

Job summary

Core Specialty is seeking a Senior Data Engineer to play a leading, hands-on role on our Data Engineering team. You will design and build data pipelines and platform improvements, mentor engineers, and serve as a technical reference for architecture decisions.

You will own high-complexity initiatives, optimize pipelines for performance and scalability, and help prepare data for analytics and AI/ML use cases using Snowflake, Databricks, and cloud data platforms.

Qualifications

• Bachelor's degree or equivalent experience.
• 7+ years of data engineering on large-scale platforms.
• Experience enabling downstream AI/ML use cases (feature stores, governed datasets).
• Experience with IAC and CI/CD for data systems (Terraform, GitHub Actions).
• Hands-on coding in Python/Scala/SQL and data modeling.

Responsibilities

• Design, build, and optimize data pipelines and platform components for analytics and AI/ML use cases.
• Take ownership of high-complexity initiatives from design to rollout.
• Identify and resolve performance, scalability, and reliability bottlenecks.

Skills

Data pipeline design

Distributed data processing

Cloud data platforms

Python/Scala/SQL

Data governance

Terraform/GitHub Actions

Code + IaC

Mentoring

Education

Bachelor's degree or equivalent experience

Tools

Snowflake

Databricks

Azure Synapse Analytics

MS Fabric

Terraform

GitHub Actions

Job description

## Senior Data EngineerApply: TX Dallas: Full time: Posted Today: JR101526-We are looking for a Senior Data Engineer to play a key senior technical role on our Data Engineering team, helping optimize and scale our existing large-scale data platform. This is a hands-on engineering role with a strong technical leadership component. You will design and build data pipelines and platform improvements while setting a strong technical example, reviewing the work of other engineers, and serving as a go-to resource for complex architecture and data engineering challenges.Reporting directly to the Director, Data Engineering, you will work alongside a small, focused team to build reliable, scalable data products and maintain a high-performing platform that supports evolving analytics and AI/ML needs. This role is well suited to an experienced data engineer seeking significant hands-on ownership, along with opportunities to mentor others and influence technical practices across the team.**Key Accountabilities/Deliverables:****Hands-On Engineering & Technical Ownership*** Design, build, and optimize data pipelines, ingestion frameworks, and platform components that support analytics, reporting, and downstream AI/ML use cases.* Take direct ownership of high-complexity or high-risk engineering initiatives, from technical design through implementation and rollout.* Identify and resolve performance, scalability, and reliability bottlenecks across the existing data platform.* Contribute to the platform's AI/ML readiness by improving data models, governance, and access patterns (e.g., feature stores, curated datasets, streaming access).* Diagnose and resolve complex production issues, including on-call support for critical data pipeline failures.* Write clean, well-tested, well-documented code and infrastructure-as-code, and maintain strong engineering hygiene across your work.**Technical Leadership & Collaboration*** Act as a senior technical resource for the team, providing guidance on architecture, design patterns, and best practices.* Conduct code and design reviews, helping raise the technical bar across the Data Engineering team.* Partner closely with the Director, Data Engineering on technical design decisions, tooling evaluations, and platform roadmap input.* Mentor other data engineers, sharing knowledge and helping develop their technical skills.* Partner cross-functionally with Product and Engineering stakeholders to understand data needs and translate them into technical solutions.* Help document standards, runbooks, and architectural decisions to support team scalability and knowledge sharing.* Other duties as assigned.**Technical Knowledge and Understanding:*** Deep expertise in data pipeline design, optimization, and distributed data processing architectures with experience identifying and resolving performance and scalability bottlenecks* Strong knowledge of cloud data platforms (AWS, Azure, or GCP) and modern data warehouse/Lakehouse architectures (Delta Lake, Iceberg)* Strong working proficiency with at least two programming languages (Python, Scala, SQL)* Solid understanding of data governance, security, and compliance practices in a regulated or enterprise environment* Ability to troubleshoot and reverse engineer existing codebases and data pipeline* Working knowledge of how data platforms enable AI/ML solutions**Experience:**Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.* Bachelor's degree in related field or demonstrated equivalent experience in a related field required.* 7+ years of experience in data engineering, with experience working on large-scale, mature data platforms.* Demonstrated experience taking technical ownership of complex projects from design through delivery.* Experience contributing to data platforms that support downstream AI/ML use cases (e.g., feature stores, curated/governed datasets, streaming access for model training and inference).* Experience with IAC and CI/CD practices for data systems (i.e. Terraform, GitHub Actions)* Strong experience writing code modular code with notebooks* Platforms: Hands on experience with Snowflake or Databricks, Azure Synapse Analytics/MS Fabric* Experience mentoring or informally guiding other engineers, even without formal people management responsibility.* Experience optimizing the developer experience* Experience designing or implementing Agentic workflows for data engineering preferred* Experience working with Property & Casualty insurance carriers preferred* Experience with Data Vault 2.0 or Ensemble data modeling techniques preferred#LI-Hybrid-At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness programCore Specialty offers a diversified range of property and casualty insurance products for small to mid-sized businesses. From underwriting offices spanning the U.S., the Company focuses on niche markets, local distribution, and superior underwriting knowledge, offering traditional as well as innovative insurance solutions to meet the needs of its customers and brokers. For further information about Core Specialty, please visit www.corespecialtyinsurance.com.