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Sr. Data Engineer

Company: MultiPlan
Location: Rockville
Posted on: June 23, 2022

Job Description:

Sr. Data Engineer

Imagine a workplace that encourages you to interpret, innovate and inspire. Our employees do just that by helping healthcare payers manage the cost of care, improve competitiveness and inspire positive change. You can be part of an established company with a 40-year legacy that helps our customers thrive by interpreting our client's needs and tailoring innovative healthcare cost management solutions.

Our commitment to diversity, inclusion and belonging are part of the fabric of our company. - We strive to create a workplace that fosters mutual respect and collaboration, where every talented individual can participate and perform their best work. - We are MultiPlan and we are where bright people come to shine!

Please note: our offices have not yet fully reopened due to the pandemic and our employees are working from home. Once our offices reopen, this position can sit in any of our offices around the country with a hybrid schedule, working 2-3 days/week in the office, 2-3 days/week at home.


As a Sr. Data Engineer you will be part of the Data Engineering team responsible for developing and deploying Engineering and Integration solutions. Primary responsibility will be to work closely with the Data Architects and Machine Learning Team to implement data solutions for the organization using Python, Java, Kafka and other big data solutions, creating technical specification documents and test plans. Also provide support for the data solutions across the enterprise.
Your primary responsibilities will include:
Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
Guide decisions and establish best practices on data integration/engineering, as well as the future of our data infrastructure
Manage and improve the performance of our database, queries, tools, and solutions
Create and maintain data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports(Tableau), dashboards, predictive models, and downstream analysis
Write complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
Prepare data for predictive and prescriptive modeling
Identify and analyze data patterns
Identify ways to improve data reliability, efficiency and quality
Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure
Other duties as assigned

Job Requirements:

Minimum Bachelor's degree in computer science, information technology, or a similarly relevant field.
Minimum 5 years of data engineering experience preferred.
Minimum of 3 years of experience with OOP, SQL, schema designing, data modeling, designing, building, and maintaining data processing systems
Strong experience with advanced analytics tools for Object-Oriented/object function scripting using languages such as R, Python, Java, others.
Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
Database development experience using SQL, SPARK, or BigQuery and experience with a variety of relational, NoSQL oriented databases like Hadoop, MongoDB, Cassandra
Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka (preferred)
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Extensive experience in triaging data issues, analyzing end-to-end data pipelines and working with business users in resolving issues.
Experience in working with data governance/data quality and data security teams and specifically data stewards and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines.
Exposure to containerization using Docker, Kubernetes etc.
Understanding business processes and how they are modeled in various systems
Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.

An agile learner who brings strong problem-solving skills and enjoys working as part of a technical, cross functional team to solve complex data problems
Ability to manage and provide mentoring to a team of data engineers
Able to prioritize and manage multiple projects and requests at any one time
Strong attention to detail when identifying data relationships, trends, and anomalies.
Thinking through long-term impacts of key design decisions and handling failure scenarios.
Excellent oral, written, and communication skills
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Ability to meet strict deadlines, work on multiple tasks and work well under pressure


We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.

Your benefits will include:

Medical, dental, and vision coverage (low copay & deductible)
Life insurance
Short- and long-term disability
401(k) + match
Generous Paid Time Off
Paid company holidays
Tuition reimbursement
Flexible Spending Account
Employee Assistance Program
Summer Hours

MultiPlan is an Equal Opportunity Employer - and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you'd like more information on your EEO rights under the law, please - click here .

Keywords: MultiPlan, Rockville , Sr. Data Engineer, Engineering , Rockville, Maryland

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