Ascot Group Logo

Ascot Group

Data Engineer, Finance

Reposted 21 Days Ago
In-Office
Denver, CO, USA
95K-110K Annually
Junior
In-Office
Denver, CO, USA
95K-110K Annually
Junior
Data Engineer will develop and support data warehouse projects, analyze data integrations, work with ETL tools, and improve processes while collaborating with team members.
The summary above was generated by AI

This is an opportunity to join Ascot Group - one of the world’s preeminent specialty risk underwriting organizations.

 

Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we’re bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourishes in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.

 

The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.

 

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service — both pre- and post-claims. Ascot exists to solve our clients’ brightest tomorrow, through agility, collaboration, resilience, and discipline.

 

Ascot is embedding artificial intelligence (AI) and automation across the organization to enhance decision making, efficiency, and quality of outcomes. In this role, you will be expected to work confidently alongside AI enabled tools, apply sound judgment when interpreting insights, and adapt as technology continues to evolve. We value curiosity, critical thinking, and a willingness to embrace change as part of how we work.

 

 

Position Overview:

 

As part of the Data Integration & Delivery Team, the Data Engineer position will be responsible for the analysis, development, implementation, testing, and ongoing support of data warehouse projects, including Phinsys and the Data & Integration Hub. This role will be in the office with a hybrid work schedule. 

 

 

Responsibilities:

 

  • Serve as a Data Engineer Level 1 for projects, enhancements, and production support. 

  • Be responsible for all analysis and support of assigned projects to include hands-on development.

  • Assist in establishing work estimates based on business requirements through participation in project feasibility, scoping, and estimating activities.

  • Assist in the high/low level designs and technical specifications that can be accurately executed.

  • Validate accuracy/quality of data integrations generated from ETL specifications. Ensure data model specifications are met.

  • Assist with hands-on design, development and testing for the most complex data related work.

  • Coordinate/lead production implementations to ensure smooth, quality releases.

  • Participate in the delivery of new warehouse sources/tables/mart etc. while leveraging existing company standards.

  • Coordinate Ascot and Vendor resources to ensure high quality and timely deliverables.

  • Think independently and creatively to streamline work and root out inefficiencies.

  • Find opportunities to increase speed and quality of output.  Must be able to articulate ideas and turn those ideas into new capabilities, performance improvements, and quality improvements.

  • Anticipate and report technical and organizational roadblocks.

  • Commitment to The Ascot Way: Embody The Ascot Way in their daily interaction with colleagues, fostering colleague engagement and development, collaboration, inclusivity, and individual accountability.

 

 

Requirements:

 

  • Bachelor’s degree in information systems, Computer Science, Data Analytics, or a related field (or equivalent experience).

  • 2+ years of experience as a Data Analyst/Engineer for a large Data Warehouse working with large data sets.

  • Some ETL Tool experience; SSIS, Informatica, ADF

  • Some experience in the Commercial and/or Specialty insurance industry is desired.

  • An understanding of financial data and concepts.

  • Analytical, rigorous, with attention to detail. 

  • Proven SQL skills 

  • Proven experience using SQL to identify and correct data issues.

  • Some Database knowledge, preferably SQL Server, Synapse

  • Capable scripting/SQL skills to perform ETL, data/file validation, analysis, and profiling.

  • Minimal ability to create, read, understand, and interpret Data Models

  • Code maintenance and review experience in one or more general purpose languages.

  • Understanding insurance domain data models, desired

 

***This position may be filled at a different level, depending on experience***

 

Compensation:

Actual base pay could vary and may be above or below the listed range based on factors including but not limited to experience, subject matter expertise, and skills. The base pay is just one component of Ascot’s total compensation package for employees. Other rewards may include annual cash bonus and other forms of discretionary compensation awarded by the Company. 

The annualized base pay range for this role is: $95,000 - $110,000

 

Company Benefits:

The Company provides a competitive benefits package that includes the following (eligibility requirements apply):

  • Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more.
  • Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver) 
  • Retirement Benefits: Contributory Savings Plan (401k)

 

#LI-Hybrid

#LI-MR1

Similar Jobs

3 Days Ago
In-Office
105K-190K Annually
Senior level
105K-190K Annually
Senior level
Other • Utilities
Design and develop scalable data architectures and production data pipelines for Finance using cloud and lakehouse technologies. Build ingestion, transformation, data models, and data quality controls with Databricks, dbt, SQL, and Python. Mentor engineers, support migration of legacy ETL, enable audit/SOX-ready processes, and partner with architects and Finance stakeholders to deliver trusted analytics and reporting.
Top Skills: AlteryxAWSAzureAzure Data FactoryAzure Data Lake Storage Gen2Azure DevopsConfluenceDatabricksDatabricks WorkflowsDaxDbtDelta LakeDelta Live TablesGit/Gitlab Ci/CdGoGCPIbm Tm1InformaticaJavaJIRAMicrosoft TeamsNoSQLOracle ErpPythonSASScalaSnowflakeSQLSQL ServerSsasSsisUnity Catalog
59 Minutes Ago
Hybrid
Entry level
Entry level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Support development, optimization, and sustainment of MMIC manufacturing processes. Perform RF/microwave measurements, troubleshoot production issues, run root cause analysis, design test fixtures and PCBs, support low-volume assembly, and collaborate across engineering, manufacturing, quality, and supply chain to ensure manufacturability and continuous improvement.
Top Skills: AdsAnsysAutocadAwrIc Package DesignMmicPcbRf/Microwave MeasurementsS-Parameter MeasurementsSolidworksTest Fixture DesignVector Network Analyzer (Vna)
An Hour Ago
Hybrid
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead client engagements advising on cybersecurity risk and compliance. Develop and implement compliance strategies, conduct risk assessments and audits, apply ISO/IEC 27001 and NIST CSF, manage project planning and budgets, mentor teams, analyze system interactions, and use data to support compliance reporting while ensuring professional standards.
Top Skills: Iso/Iec 27001Nist Cybersecurity Framework

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account