Job Description
General Summary:The Senior Software Engineer - Data Engineering (ScreenConnect) is responsible owning the development of high-quality, highly scalable data pipelines for the ConnectWise ScreenConnect business unit. This individual works in partnership with cross-functional teams across Product Management, Sales, Marketing, Product Analytics and more to ensure that data is available to power a variety of reporting, analytics and machine learning functions that directly map to the success of a product line powering the support of millions of devices globally. This role presents a senior engineer with an opportunity to have a high degree of impact in driving business outcomes by ensuring that software deliverables, including designs, codes, and tests, are completed in a timely manner while remaining aligned with industry and organizational standards.About ScreenConnect:ConnectWise ScreenConnect is a SaaS product sold digitally, allowing customers to be live in minutes. Our vision is to empower TSPs (Technology Service Providers) & small to enterprise businesses to remotely.ScreenConnect serves not only TSPs, but also direct business and consumers globally to allow them to remotely connect to other devices. It is ConnectWise's most widely used product and top rated by customer satisfactionWith our fast onboarding, international footprint, strong customer base spanning multiple industries and a huge market opportunity, we want to growth our business significantly in the next few years. Successful execution of this growth would give the product a unicorn status. Successful execution of this vision requires a bold approach of transforming from our ConnectWise ScreenConnect data approach to provide more insights into operational KPIS and opportunities to grow including new data as a product offerings.About Connectwise:ConnectWise is a global software provider to TSPs who use our technology to support over 1 million businesses globally. We are owned by Thoma Bravo, a leading Private Equity company with a track record of backing high growth and profitable software companies.Why Join the ScreenConnect team:How many times in your career will you join a scale up team to overhaul the data practices of a high growth, highly profitable global SaaS business backed by one of the top global Private Equity companies?We're looking for highly accountable people who want to accelerate their careers and come on a journey with a progressive team to turbo charge our business.The result is you make a difference, and demonstrate how you created step change and can grow your career.Essential Duties & Responsibilities:
• An Individual Contributor who is capable of developing data pipelines in a highly autonomous enviornment -- including often needing to translate busines stakeholder requirements to technical requirements -- with an eye towards developing full stack or cross-skills across the Modern data landscape.
• Drives end to end design, implementation, and delivery of engineering components
• Works with Product Owners, Product Data Analysts and Machine Learning Engineers to understand product/end-user requirements and translate those into pragmatic and effective technical solutions.
• Supports key initiatives, both in terms of delivery and in a consulting capacity
• Reviews user stories to ensure a quality user experience, well-defined acceptance criteria and thorough test coverage
• Ensure Modern engineering practices like automated build and deployment pipelines, infrastructure as code, CI/CD and trunk-based development are defined and followed.
• Building scalable data pipelines
• Collaborates with multiple data source teams in getting data published to Data Platform using Data Lake and Data warehouse architecture (i.e. Data Lakehouse architecture)
• Engages in ongoing quality and performance improvement to ensure reliability and data security
• Participates in code reviews to ensure quality, coaching as necessary
• Works in an agile environment, contributing to story sizing and collaborates with the engineering teams (onshore and offshore) to deliver on integration projects to ensure deliverables are well-documented, secure and resilient.
• Designs for release and configuration management.
• Assists in troubleshooting and resolving production system issues.Job Requirement
Knowledge, Skills, and/or Abilities Required:
• 5+ years of overall professional experience in Data space. At least 3+ years' experience in Modern Data Stack/Data Lakehouse.
• Experience with cloud-based preferably AWS (or GCP / Azure) data management platforms and typical storage/compute services (Snowflake, Redshift, Azure Synapse, Databricks, Open Source -Iceberg/Delta etc.)
• Experienced in creating / adopting an industry standard modelling methodology (i.e. Dimensional or similar) for various consumer requirement needs Data Visualization, Machine Learning and Customer Data Syndication/Exchange.
• Working experience in Data Integration and Processing scripting/tools, for structured and semi-structured data using SQL (Advanced) and Python. Any experience in ELT/ETL tools like DBT, Talend/Stitch, Matillion, Meltano/Airbyte etc. Apache Spark capabilities would be a plus.
• Data Orchestration tools to build scalable data Pipelines using Airflow or similar tools (like Prefect and Dagster)
• Support Data Governance initiatives with other engineers/analysts in maintaining data catalogs, data quality measures and any frameworks
• Any experience or knowledge of Real-time Data streaming technologies like Apache Kafka and Spark Streaming would be a plus.
• Certifications in AWS and/or modern data technologies would be a plusEducational/Vocational/Previous Experience Recommendations:· Bachelor's degree in related field or equivalent business experience· 4+ years of relevant experienceWorking Conditions:· Onsite/Hybrid/Remote depending on location· 0-10% travel may be required
