Data Engineer - Remote - $150,000

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Senior Azure Data Engineer - Fully Remote - 150,000-170,000 The Senior Data Engineer will work closely with various teams to help define solution strategy, establish requirements, drive capability development, make informed technology decisions, and help execute the product and development roadmaps that ensures the solution's business viability and outcomes are met. He or she will engage regularly with the Technology, Marketing, and Sales teams to help build and enhance the solution, on an ongoing basis, through relevant insights and help develop new concepts based on industry research and the prioritized needs of existing clients and prospects. The Senior Data Engineer must be both business and technology savvy, have a big-picture vision, and the drive to make the vision a reality. The ability to work with a data science technical stack and related tools for AI/ML model development and lifecycle management would be a significant plus.

You will work with different functional teams and stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Other activities include assessing the effectiveness and accuracy of new data sources and data gathering techniques for targeted solutions. You will also provide support to product development and business area communities for Lexmark data sources, data visualization / dashboards and analysis.

Data Management Skills

The skillset to be used on the job are listed below. A strong candidate will have a good foundation in some or all of these.

Data modeling

Batch data ingestion (ETL/ELT)

Data visualization

Database and data structures familiarity

Data querying skill (likely SQL)

Other Key Skills

Excellent written and oral communication and interpersonal skills

Inherent problem-solving aptitude as well as organizational and influence management skills

Ability to drive creativity and having problem-solving skills

Balanced judgement and decision-making skills leading to timely execution

A solid familiarity with business process models and notations

The Senior Data Engineer will work closely with the Process Health Monitor Product Manager and together act as a champion for the offering's application, both internally and externally. He or she will work with key technology and business constituents to define product requirements and architecture based on use cases.

Responsibilities

Assemble large, complex data sets that meet functional / non-functional business requirements

Engage regularly with business and technology stakeholders to identify, prioritize, and define product requirements and use cases; articulate and drive the development of the requirements through agile sprints and planned releases.

Drive agility and adaptability - respond to market opportunities by architecting the solution(s) by leveraging modern methodologies; develop, maintain, and deliver a product roadmap based on market insights, client feedback, innovation efforts and Lexmark strategic direction.

Define and own data environments, develop data artifacts on various repositories, oversee the development of new processes while working with a variety of stakeholders such as Sales, Marketing, Data Science and Professional services teams

Focus on enhancing Process Health Monitor lifecycle management for defining, managing, and delivering major and minor product releases, POCs and pilots by incorporating modern agile, architecture, and DevSecOps principles; ensuring industry standards and client compliance requirements are met.

Serve as a technical subject matter expert (SME) for client pre-sales exercises

Qualifications

Bachelors or Master's in Computer Science, Engineering, or a related field

7+ years proven experience as a Data Engineer or related expertise

Experience working with Cloud platforms, specifically MS Azure and AWS; Azure and AWS certifications a plus

Experience with Enterprise Data Warehouse deployment that resulted in specific business outcomes as well as with data blending, data orchestration and pipeline development tools and technologies

Experience with cloud platforms (Azure, AWS) and data engineering tools such as Databricks, Azure ML, Azure Synapse, AWS Sagemaker, Amazon S3, Amazon Redshift and big data technologies such as Hadoop (HDFS, Spark, Hive)

Proven ability to distill complex and technical information and language into simple and accessible content for internal and external technical and non-technical audiences; translate data into valuable insights that drive informed technology decision