Senior Data Engineer – Streaming, Analytics & Visualization

Location: PA, Working at Home - Pennsylvania, MD, Working at Home - Maryland, WA, Working at Home - Washington, NC, Working at Home - N Carolina, LA, Working at Home - Louisiana, KY, Working at Home - Kentucky, KS, Working at Home - Kansas, IN, Working at Home - Indiana, IL, Working at Home - Illinois, GA, Working at Home - Georgia, IA, Working at Home - Iowa, FL, Working at Home - Florida, CO, Working at Home - Colorado, CA, Working at Home - California, DE, Working at Home - Delaware, CT, Working at Home - Conneticut, AR, Working at Home - Arkansas, AZ, Working at Home - Arizona, AL, Working at Home - Alabama, AK, Working at Home - Alaska, NV, Working at Home - Nevada, VT, Working at Home - Vermont, TN, Working at Home -Tennessee, ID, Working at Home - Idaho, OK, Working at Home - Oklahoma, HI, Working at Home - Hawaii, MS, Working at Home - Mississippi, UT, Working at Home - Utah, NH, Working at Home - New Hampshire, NM, Working at Home - New Mexico, WY, Working at Home - Wyoming, ND, Working at Home - North Dakota, SD, Working at Home-South Dakota, RI, Working at Home - Rhode Island, WV, Working at Home - W Virginia, MO, Working at Home - Montana, TX, Working at Home - Texas, DC, Working at Home - Dist of Col, OH, Working at Home - Ohio, NJ, Working at Home - New Jersey, OR, Working at Home - Oregon, SC, Working at Home-South Carolina, MO, Working at Home - Missouri, VA, Working at Home - Virginia, MA, Working at Home -Massachusetts, NE, Working at Home - Nebraska, MN, Working at Home - Minnesota, MI, Working at Home - Michigan, WI, Working at Home - Wisconsin, NY, Working at Home - New York, ME, Working at Home - Maine

Remote Type: Remote

Time Type: Full time

Job Description

Company :

enGen

Job Description : 

JOB SUMMARY

***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***

As a Senior Data Engineer, you will design and operate real‑time and analytical data pipelines that power enterprise reporting and decision‑making, including security and operational telemetry data. You will be responsible for ingesting, modeling, and optimizing high‑volume streaming and batch data in Azure Data Explorer (ADX), enabling fast, reliable analytics at scale.

This role blends deep data engineering with analytics enablement. You will structure and transform data using modern cloud and streaming technologies ( Kafka, Cribl, Azure Data Factory), applying medallion architecture principles to ensure data quality, performance, and governance across the full data lifecycle.

A core responsibility is translating engineered data into business‑ready insights by developing curated datasets, analytics, and Power BI (and Tableau) dashboards used by internal teams and leadership. Success in this role requires strong proficiency in KQL, SQL, and Python, experience optimizing ADX for analytical workloads, and the ability to partner with stakeholders—including security and risk teams—to turn business questions into scalable, high‑impact data products.

ESSENTIAL RESPONSIBILITIES

• Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems

• Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs

• Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs

• Monitor work against production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly

• Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations.

• Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking

• Mentor other associate and intermediate data engineers as needed

• Perform data analysis and provide insights to support decision-making across various departments

• Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed

• Other duties as assigned or requested.

EXPERIENCE

Required

• 5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems

• 5 years of experience in a data engineering, ETL development, or data management role.

• 5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB).

• 5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery)

Preferred

• 7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory).

• 7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities

• 7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare

• 7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services

• 7 years of experience in data governance, data quality, and data security best practices

• 7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs

• 7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable

• 7 years of experience structuring and transforming data from multiple source systems.
• 7 years of experience creating data visualizations and dashboards using Power BI or Tableau for internal and external audiences.
• 7 years of experience using Cribl as a steaming and transformation solution.
• 7 years of experience using Azure Data Factory as a transformation solution.
• 5 years of experience using Azure Data Explorer

SKILLS

• Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment

• Adaptability: Strong ability to take on diverse tasks and projects, adapting to the evolving needs of the organization

• Analytical Thinking: Strong analytical skills with a focus on detail and accuracy

• Interest and ability to learn other data development technologies/languages as needed

• Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed

• Strong track record in designing and implementing large-scale data sources

• Strong sense of ownership, urgency, and drive

• Demonstrated passion for user experience and improving usability

• Team Collaboration: A team player who can work effectively in cross-functional environments

• Experience and willingness to mentor junior data engineers and help develop their skills and leadership

EDUCATION

Required

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

Preferred

• Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

LICENSES or CERTIFICATIONS

Required

• None

Preferred

• None

Language (Other than English):

None

Travel Requirement:

0% - 25%

PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

Position Type

Office- or Remote-based

Teaches / trains others

Occasionally

Travel from the office to various work sites or from site-to-site

Rarely

Works primarily out-of-the office selling products/services (sales employees)

Never

Physical work site required

No

Lifting: up to 10 pounds

Constantly

Lifting: 10 to 25 pounds

Occasionally

Lifting: 25 to 50 pounds

Rarely

Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.

As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. 

Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.

Pay Range Minimum:

$102,700.00

Pay Range Maximum:

$164,600.00

Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.

Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.

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