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Senior Financial Data Engineer Jobs in Colorado (NOW HIRING)

Senior Data Engineer Department: Digital Reporting To: Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering ...

Senior Data Engineer

Denver, CO

$108K - $147K/yr

Senior Data Engineer Department: Digital Reporting To: Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering ...

Senior Data Engineer

Denver, CO

$108K - $147K/yr

Senior Data Engineer Department: Digital Reporting To: Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering ...

Senior Data Engineer

Denver, CO · On-site

$170K - $220K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall ...

Senior Data Engineer

Englewood, CO · On-site

$135K - $165K/yr

Position Summary We are seeking a highly motivated and technically skilled Senior Data Engineer to join our Application Development team. Reporting directly to the SVP, Application Development ...

Senior Financial Analyst

Denver, CO · On-site

$120K - $140K/yr

NexCore Group is seeking a Senior Financial Analyst to join our team, focusing on senior living ... Conduct in-depth market research and interpret data on demographic trends, economic factors, and ...

(USA) Senior, Data Engineer

Denver, CO · On-site

$99K - $198K/yr

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines and ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

New

Sr Financial Analyst

Lakewood, CO · On-site

$86K - $107K/yr

... complex financial data into clear, actionable insights. ESSENTIAL DUTIES * Provide financial ... Support financial analysis related to new product development, sustaining engineering, digital and ...

Sr Financial Analyst

Lakewood, CO · On-site

$86K - $107K/yr

... complex financial data into clear, actionable insights. ESSENTIAL DUTIES * Provide financial ... Support financial analysis related to new product development, sustaining engineering, digital and ...

Senior Data Engineer

Denver, CO

$109K - $148K/yr

Position Summary The Sr. Data Engineer is responsible for leading technical aspects of IT solution delivery, cloud-based data platform engineering and data product delivery, as well as strategic ...

Senior Data Engineer

Denver, CO · On-site

$140K - $165K/yr

The Senior Data Engineer will design, build, maintain, and optimize the pipelines, data models, orchestration, and cloud infrastructure that power analytics and internal applications across Baseball ...

New

Senior Data Engineer

Denver, CO

$109K - $148K/yr

Ibotta is looking for a software-focused Sr. Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. As a key contributor within the Data Platform Organization ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

The Senior Data Engineer will design, build, maintain, and optimize the pipelines, data models, orchestration, and cloud infrastructure that power analytics and internal applications across Baseball ...

New

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Position Summary The Sr. Data Engineer is responsible for leading technical aspects of IT solution delivery, cloud-based data platform engineering and data product delivery, as well as strategic ...

Senior Data Engineer

Denver, CO

$109K - $148K/yr

Position Summary The Sr. Data Engineer is responsible for leading technical aspects of IT solution delivery, cloud-based data platform engineering and data product delivery, as well as strategic ...

Showing results 21-40

Senior Financial Data Engineer information

What is the difference between Senior Financial Data Engineer vs Financial Data Engineer?

AspectSenior Financial Data EngineerFinancial Data Engineer
Required CredentialsBachelor's/Master's in Computer Science, Finance, or related; experience in data engineeringBachelor's in relevant field; entry-level experience in data engineering
Work EnvironmentFinancial institutions, investment firms, banksFinancial firms, fintech companies, data consultancies
Employer & Industry UsageUsed in finance-heavy roles requiring advanced data skillsEntry to mid-level roles in finance and data sectors

The main difference is experience level and responsibility. Senior Financial Data Engineers handle complex data projects, mentor teams, and have more strategic input, while Financial Data Engineers focus on building and maintaining data pipelines at an entry or mid-level. Both roles require strong technical skills and finance industry knowledge, but the senior role involves leadership and advanced problem-solving.

What are the key skills and qualifications needed to thrive as a senior financial data engineer, and why are they important?

To thrive as a Senior Financial Data Engineer, you need advanced knowledge in data engineering, financial data modeling, and programming languages such as Python or Scala, usually supported by a degree in computer science, finance, or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure, or GCP), and data warehousing solutions, along with certifications in relevant technologies, are typically required. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for efficiently transforming complex financial data into actionable insights and ensuring accuracy, security, and scalability in financial systems.

What does a senior financial data engineer do?

A Senior Financial Data Engineer designs, builds, and manages data infrastructure specifically for financial systems and organizations. They work with large volumes of financial data, ensuring its quality, security, and accessibility for analysis and reporting. This role often involves collaborating with data scientists, analysts, and business stakeholders to create pipelines and tools that support financial modeling, risk assessment, and business intelligence. Senior Financial Data Engineers also play a key role in implementing best practices for data governance and regulatory compliance.

How does a senior financial data engineer typically collaborate with cross-functional teams in a financial organization?

A Senior Financial Data Engineer often works closely with data analysts, financial modelers, software developers, and business stakeholders to design and implement robust data pipelines and solutions. Collaboration involves translating business requirements into technical specifications, ensuring data quality and compliance, and enabling seamless data integration across platforms. Regular meetings and agile ceremonies are common, fostering open communication and fast adaptation to changing business needs. This cross-functional teamwork is crucial for delivering accurate, timely financial insights and supporting strategic decision-making.
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What are popular job titles related to Senior Financial Data Engineer jobs in Colorado? For Senior Financial Data Engineer jobs in Colorado, the most frequently searched job titles are:
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Senior Data Engineer

Audacy, Inc.

Denver, CO • On-site

Full-time

Re-posted 14 days ago


Audacy rating

5.5

Company rating: 5.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

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Job description

Overview
Job Title: Senior Data Engineer
Department: Digital
Reporting To: Manager, Data Engineering
Employment Type: Full-Time
Overview:
Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of building and optimizing scalable data infrastructure that supports critical business insights, product innovation, and operational excellence. You'll collaborate with other engineering teams, analytics, and product teams to design and drive data-forward solutions across a massive-scale digital audio ecosystem.
Whether you're designing data pipelines, optimizing data models, or ensuring the reliability and performance of our data platform, you'll play a key role in shaping how Audacy utilizes big data on the magnitude of billions of rows to unlock insights, enhance decision-making, and drive successful business outcomes. We are looking for a technical leader who values focus, curiosity, and collaboration who can mentor other data data engineers-and we offer an environment that supports your growth while respecting your work-life balance.
Responsibilities
What You'll Do:
  • Design and develop batch and streaming data pipelines using cloud technologies (GCP, AWS, BigQuery, Snowflake, etc). GCP and BigQuery experience preferred.
  • Build, maintain, and optimize data models and dimensional warehouses to support analytics and BI tooling as well as other operational workflows.
  • Design and develop robust ETL/ELT processes for ingesting, transforming, and validating terabytes of structured data.
  • Troubleshoot complex data pipeline issues to determine root cause and corrective actions.
  • Research, analyze, recommend, and implement technical approaches for solving complex data transformation and integration problems within a Medallion data warehouse architecture.
  • Collaborate with business analysts, data scientists, and stakeholders to understand complex data problems and translate business requirements into technical solutions and a structured backlog.
  • Lead and mentor other data engineers to follow the team's evolving data engineering standards and best practices.
  • Analyze, support and improve the performance, reliability, and scalability of our data infrastructure.
  • Define and Implement data quality, data governance, privacy-first practices, and validation mechanisms to ensure accuracy and compliance (e.g., GDPR).
  • Document pipelines, systems, and workflows to improve our internal data catalog.
  • Stay current with emerging technologies and evaluate their relevance in our stack.

Qualifications
More About You:
Required:
  • 8+ years of professional data engineering and programming skills building scalable ETL/ELT systems.
  • Degree in Computer Science or related field, or equivalent practical experience.
  • 6+ years of experience with Python and SQL.
  • Advanced analytical problem solving and troubleshooting skills
  • Extensive experience working with cloud data warehouses (e.g. BigQuery or Snowflake), and Google Data tools (DataFlow, DataForm, Pub/Sub, GCS).
  • 3+ years of experience with Airflow (Cloud Composer), data modeling (star/relational schema), and test case development.
  • Solid understanding of columnar vs. row-based storage solutions and when to use each (e.g., Snowflake vs. Postgres).
  • 3+ years experience writing design documents and breaking work down into a well-structured backlog.
  • Proven ability to work in agile, cross-functional teams.
  • Excellent verbal and written communication skills; a team player who enjoys learning and teaching. Willingness to dig into "why" to help build the right solutions and data products for our business to scale our data capabilities.

Important Notes:
Please be aware that Audacy will never ask you to send money at any point during the hiring process. Communication from legitimate Audacy representatives will only come from email addresses ending in @audacy.com. If you receive any suspicious requests or communications, please verify their authenticity before responding.
About Us
Audacy is a leading audio content and entertainment company. As champions of audio, we connect with people in the moments that matter - delivering trusted local news, passionate sports and your favorite music across 220+ radio stations, premium podcasts, live events and digital experiences that reach more than 200 million listeners every month.
We create compelling content, foster deeply engaged audiences and deliver outcomes that matter for advertisers. Learn more at www.audacyinc.com and join the conversation on LinkedIn, X, Facebook and Instagram.
EEO
Audacy is an Equal Opportunity Employer. Audacy affords equal employment opportunity to qualified individuals regardless of their race, color, religion or religious creed, sex/gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, ancestry, age (over 40), physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or other classification protected by applicable federal, state, or local law, and to comply with all applicable laws and regulations. Consistent with our commitment to equal employment opportunity, we provide reasonable accommodations to qualified individuals with disabilities who need assistance in applying electronically for a position with Audacy, unless doing so would impose an undue hardship. To request a reasonable accommodation for this purpose, please call 1-610-660-5614. Please note that this phone number is to be used solely to request an accommodation with respect to the online application process. Calls for any other reason will not be returned. Reasonable accommodation requests are considered on a case-by-case basis.

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