Sightline Payments Logo

Sightline Payments

Senior Data Engineer

Posted One Month Ago
Remote
Hiring Remotely in United States
140K-160K Annually
Senior level
Remote
Hiring Remotely in United States
140K-160K Annually
Senior level
Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation.
The summary above was generated by AI

About Sightline Payments

Sightline is transforming the gaming industry with its innovative suite of award-winning digital payment and wallet solutions. Through its expertise in consumer behavior, payments technology, and software development, Sightline is uniquely positioned to help casino resorts and online gaming companies offer a more robust, customer-centric omnichannel experience. 


Sightline’s flagship product, Sightline Debit, enables players to use a single digital payment method across all gaming channels and throughout the entire resort. It’s currently the preferred payments and cashless solution for more than 80 partners in 40+ states across the sports betting, lottery, horse racing, and online and brick-and-mortar casino markets.


Our environment is entrepreneurial and fast-paced.  Individual and creative contributions to our company objectives are highly encouraged and recognized.  There will be an abundance of opportunities to develop new skills and to benefit from interaction with a highly experienced leadership team.


At Sightline Payments, we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. 

About the role

  • This M-F, full-time position is remote (work from home) and requires after-hours support when needed. Sightline Payments culture values respect, teamwork, and collaboration in achieving leading edge functionality balanced with high usability. This position will define, drive, and work with teams to execute on this vision.

What you'll do

  • Oversee data engineering, reporting, development and delivery of hosted and cloud-based solutions which are secure, performant and scalable.
  • Collaborate with developers, analysts, and stakeholders to prepare and deliver complex data sets that meet business needs.
  • Participate in Information Technology strategic, budgeting and project planning functions.
  • Defines standards, procedures, and methodologies to ensure the security, integrity, resiliency, scalability and performance of enterprise data resources.
  • Lead DE support, maintenance and change management activities including service levels, efficacy reviews and task/resource scheduling.
  • Evaluate and adopt third party tools, add-ons, and interfaces that strengthen our product suite or operational efficiency.
  • Stay abreast of evolving technology, standards and engineering practices that embrace security, quality and automation.
  • Participate in proactive assessments, lifecycle and capacity management/planning, business continuity and disaster recovery to maintain service levels.
  • Participate in maintaining system standards, information security, Incident Response and Disaster Recovery plans that adhere to regulatory requirements working within industry standards and the enterprise security posture.

Qualifications

  • Bachelor's Degree in Computer Science/Engineering or equivalent experience in Database/Data Architect role or equivalent experience.
  • 5 years managing and mentoring data engineering teams or similar disciplines
  • 5 years recent practical experience implementing and supporting Microsoft SQL Server, Microsoft Fabric/PowerBI, Snowflake, MongoDb and data lake technology administration, ETL,  high availability, deployments, and disaster recovery.
  • Extensive practical experience designing, developing and managing traditional and cloud databases, data lake, data warehouse and NoSQL solutions.
  • Demonstrated experience managing and participating in complex, cross-functional projects and driving technical innovation.
  • Ability to thrive as a member of a geographically distributed organization.
  • Excellent organizational and time management skills.
  • Strong ability to compile, research and analyze complex data.
  • Ability to convey complex topics to non-technical audiences verbally and in writing.
  • Experience working in Azure DevOps, supporting SDLC, CI/CD development and deployments.

Company Benefits

  • PPO + HDHP Healthcare + Vision & Dental (Sightline covers 90% for employee and 65% for their qualified dependents). 
  • 401K with a match of up to 4%
  • STD, LTD, Life and AD&D coverage at 100% company paid
  • Unlimited PTO (exempt employees only)
  • Home Office Stipend


Research shows that women and people from underrepresented groups often apply to jobs only if they meet 100% of the qualifications. We recognize that it is highly unlikely that someone meets 100% of the qualifications for a role. If much of this job description describes you, then please apply for this role. 

Similar Jobs

2 Days Ago
In-Office or Remote
CA, USA
168K-297K Annually
Senior level
168K-297K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead product data engineering across architecture, data modeling, pipelines, monitoring, lineage, and data quality. Build reliable analytical datasets, support experimentation and machine learning use cases, and resolve business-critical pipeline issues. Partner with product and engineering stakeholders to translate business needs into automated data solutions. The role requires ownership of end-to-end data engineering projects, on-call participation, and development of AI-assisted monitoring and automation.
Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform
3 Days Ago
Remote or Hybrid
CA, USA
168K-297K Annually
Senior level
168K-297K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Lead product data engineering initiatives by designing data models, owning critical pipelines, building data quality and lineage monitoring, and supporting experimentation and ML-ready datasets. Translate business needs into automated data solutions, maintain pipeline SLAs through on-call support, and develop AI-assisted tools for issue detection and resolution. Collaborate with Product, Engineering, Data Science, Machine Learning, and Applied AI teams across Block’s products.
Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform
3 Days Ago
In-Office or Remote
US
136K-220K Annually
Senior level
136K-220K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Build and own scalable data platforms and ingestion pipelines using BigQuery, dbt, and modern ingestion tools. Design batch and CDC workflows, improve reliability and observability, implement governance and access controls, and support analytics and AI agents. Develop Python services and internal tooling, contribute to architecture and lakehouse experiments, collaborate with stakeholders, and mentor engineers. The role requires strong SQL, Python, cloud infrastructure, testing, CI/CD, and AI-assisted development experience.
Top Skills: Ai Coding AgentsAmazon Web ServicesAPIsCdcCi/CdClaude CodeDbtEstuaryGitGoogle BigqueryGoogle Cloud PlatformHevoLakehouseMcpOpen Table FormatsPythonSQL

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account