Data Engineer at Consensus Cloud Solutions

Consensus Cloud Solutions is a publicly traded, leading digital cloud fax and interoperability solutions organization in the United States and globally, focusing on connecting and empowering healthcare providers, payers, care teams, and technology innovators to unify multiple systems that wouldn’t otherwise talk to each other. Consensus is a trailblazer in our industry and believes that data transformation will reshape the world of healthcare.

Founded over 25 years ago, Consensus leverages its technology heritage to move from simple digital documents to advanced healthcare standards (HL7/FHIR) for secure data transport, as well as Natural Language Processing (NLP) and Artificial Intelligence (AI) to convert unstructured to structured, analytics-ready data, helping users unveil information that is meaningful and actionable for better patient care.  

With more than 11 million users worldwide, Consensus leads the industry in data exchange solutions and we’re only getting started! With exciting new initiatives on the horizon, we are continuing our strategic expansion and we are looking to add to our diverse team of innovators. 

Now is the ideal time to join us in our mission to solve healthcare’s biggest challenges, and work collaboratively with a diverse team of like-minded self-starters and partners to accomplish it. 

Consensus Cloud Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees. We offer many remote and hybrid career opportunities.

How you will impact the organization…

As a Data Engineer, you will be responsible for implementing, and maintaining robust data infrastructure and pipelines to support our data acquisition, management and reporting initiatives. This role will also collaborate with cross-functional teams to develop and deploy scalable data pipelines.

The value you will deliver…

• Implement scalable and efficient data infrastructure, including data ingestion, data storage, and processing data pipelines, for all company data, including but not limited to customer data, product data, financial data, and operational data.

• Collaborate with cross-functional teams to identify and address data-related challenges, provide actionable business and analytical insights, and contribute to data-driven decision-making processes.

• Monitor and alert on Data Quality into and within the EDW. 

• Implement ETL processes to load data from a variety of sources into the data warehouse.

• Stay up-to-date with the latest advancements in data engineering and assess their potential impact on our systems and processes, and recommend ways to improve the company’s data infrastructure and efficiency

• Drive continuous improvement initiatives, identify bottlenecks, and implement optimizations to enhance the efficiency and reliability of data pipelines and machine learning models and workflows. 

• Ensure that tasks are completed efficiently and effectively.

• Collaborate with business stakeholders, and software engineers to understand business requirements and translate them into technical solutions.

• Participate in the evaluation and selection of appropriate technologies, tools, and frameworks for real-time and batch data processing, storage, and analysis, ensuring scalability and performance.

• Maintain data governance policies, ensuring data quality, security, and compliance with relevant regulations. Implement master data management to create a uniform and a standard set of attributes for core entities across the organization.

• Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.

What you will bring to the table…

• 3+ years of proficiency in programming languages such as Python and experience with related frameworks and libraries (e.g., Apache Spark, Pandas, Apache Airflow)

• 3+ years of experience in data engineering, including implementing large-scale data infrastructure and Extract, Load, and Transform (ELT)  pipelines.

• 2+ years proficiency in SQL and experience in optimizing and tuning queries on data warehouse and relational databases, including Postgres and/or Oracle.

• 2+ years of experience with cloud platforms and expertise with their data services and tools.

• Professional experience as a data engineer or similar role implementing large-scale data infrastructure and data pipelines utilizing ETL and ELT techniques. 

• Ability to clearly demonstrate effective business communication skills verbally and in writing to both internal and (external) stakeholders.

• Experience working in an agile environment and familiarity with Kanban and/or Scrum methodologies.

• Knowledge of data analysis techniques

• Ability to work on call schedule hours/ after hours support on a monthly basis.

You will stand out if you also have…

• Experience with AWS data services and tools. 

• Knowledge of CI/CD pipelines as applied to Data Engineering.

• Experience solving problems across multiple business domains like finance, marketing and sales etc.

• Experience in large scale implementations.

• Knowledge of data warehousing, data and dimensional modeling.

Additional details…

• Location requirements: Fully remote within the U.S. (Los Angeles, Las Vegas preferred.)

• Travel requirements: Up to 10% travel. 

• Physical requirements: Must be able to sit for long periods, as well as, handle long periods of screen time.

• Technology requirements: Reliable, high speed internet

• Eligible for sponsorship: No