Data Engineer Senior

Park Lawn Corporation; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health and Welfare Plans

401k with company match

Paid time off

Job summary

Park Lawn Corporation is seeking a highly skilled Senior Data Engineer to design, develop, and optimize the organization’s enterprise data infrastructure. You will lead data pipelines, governance, and analytics initiatives across funeral home, cemetery, cremation, and corporate services locations.

The role requires strong expertise in Azure data services, Databricks, SQL, Python, and data warehousing concepts. Mentoring teammates and staying current with data tech trends are expected.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Mathematics, or related field required.
• Minimum of 7 years of experience in data engineering, data architecture, BI, or related roles.

Responsibilities

• Designs, develops, and maintains scalable data pipelines and architectures using Azure data services.
• Collaborates with data scientists and analysts to translate data requirements into technical solutions.
• Ensures data integrity, quality, and security across Azure data systems.
• Develops and manages ETL processes to ingest and load data into Azure data warehouses and data lakes.
• Monitors and optimizes Azure data systems for performance, scalability, and cost-efficiency.
• Mentors junior data engineers and supports cross-functional teams on data initiatives.

Skills

SQL

Python

Spark

Azure Data Factory

Databricks

Synapse Analytics

Communication

Education

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Tools

Microsoft Fabric

Azure Synapse Analytics

Job description

• At every level, our dedicated team members display a strong work ethic and commitment to our core values, respect for the family, the profession, and the individual.
• Work with leading experts in the funeral and cemetery profession.
• Financial assistant programs encouraging employees through education and development in industry related subjects.
• Robust Health and Welfare Plans, and savings account options, designed to support your personal needs, enhance well-being and help navigate life’s challenges.
• Rich 401k and Roth Retirement Plan options available for both Full Time and Part Time employees along with a Company Match.
• Variety of Vacation, Personal Days and Sick Days based on your role emphasizing the importance of physical and emotional replenishment for our team.
• Employee Discounts on services, merchandise, and property to help our team members in their time of need.

Culture

• We value honesty, courage, integrity, ethical behavior and the development of personal growth.
• We are rooted in the communities to provide a personal touch to every family we serve.
• We believe in the value of funeral and cemetery service, drawing on decades of experience to create the best experience for our families.

Job Type & Description:

Full-Time, on-site with some work from home opportunity.

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, a passion for data-driven decision-making, and expertise in Microsoft Azure data services using Databricks.

Summary/Objective

This role is responsible for the design, development, implementation, and optimization of the organization's enterprise data infrastructure. The Senior Data Engineer serves as a technical leader in building scalable data solutions that support business intelligence, analytics, reporting, artificial intelligence, data governance, and strategic decision-making across a multi-location funeral home, cemetery, cremation, and corporate services organization.

Essential Functions

Data Architecture and Design

• Designs, develops, and maintains scalable data pipelines and architectures using Azure data services.
• Collaborates with data scientists, analysts, developers and other stakeholders to understand data requirements and translate them into technical solutions.
• Ensures data integrity, quality, and security across all Azure data systems.

Data Integration and ETL

• Develops and manages ETL processes to ingest, transform, and load data from various sources into Azure data warehouses and data lakes.
• Optimizes data workflows for performance and reliability using Azure Data Factory, Databricks, and other Azure tools.

Database Management

• Administers and maintains Azure and on-prem Postgres databases, Azure SQL Database, Mongo DB, Cosmos DB, and other Azure data storage solutions.
• Implements data storage solutions that support efficient querying and analysis.

Data Governance and Compliance

• Establishes and enforces data governance policies and best practices.
• Ensures compliance with data privacy regulations and industry standards.

Performance Turning and Optimization

• Monitors and optimize Azure data systems for performance, scalability, and cost-efficiency.
• Troubleshoots and resolve data-related issues in a timely manner.

Collaboration and Mentorship

• Works closely with cross-functional teams to support data-driven initiatives.
• Mentors and guides junior data engineers, fostering a culture of continuous learning and improvement.

Innovation and Continuous Improvement

• Stays up to date with the latest trends and technologies in data engineering.
• Proposes and implements innovative solutions to enhance data infrastructure and processes.
• Performs other duties as assigned.
• Data Engineering and Architecture.
• Ethical Conduct.
• Personal Effectiveness/Credibility.

Required Education, Experience, Certifications and Licensure

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Mathematics, or a related field required.
• Minimum of 7 years of experience in data engineering, data architecture, business intelligence, or related technical roles.

Preferred Education, Experience, Certifications and Licensure

• Master's degree in Computer Science, Information Systems, Analytics, or related field.
• Experience supporting multi-location organizations.
• Experience in funeral and cemetery industry, healthcare, consumer services, retail, financial services, or other distributed operational businesses.

Additional Eligibility Qualifications

• Ability to read, write, and speak English fluently. Bilingual is a plus.
• High degree of proficiency in Microsoft Office Suite (Outlook, Excel, Word, Access and Power Point) required.
• Proficiency in SQL, Python, Spark, and data engineering tools (e.g., Microsoft Fabric, Azure Data Factory, Databricks, Synapse Analytics).
• Experience with Azure cloud platform and its data services.
• Strong understanding of data warehousing concepts and technologies.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to communicate technical concepts to non-technical audiences.
• Strong organizational and project management abilities.
• Strong customer service orientation and business partnership mindset.
• Commitment to continuous learning and emerging technologies.
• Ability to manage deadlines, work on multiple assignments and prioritize each assignment as necessary.
• Must be able to work independently and as a team player.
• Strong interpersonal and communication skills required.
• Work in a fast-paced, growth-oriented organization.

Supervisory Responsibility

This position has direct supervisory responsibilities

Physical Demands and Work Environment

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

• The duties associated with this position are generally performed in an indoor office setting.
• Outdoor duties may require exposure to natural elements such as inclement weather, extreme temperatures, uneven ground, dust, gas, and/or fumes.
• Equipment used to perform the essential function of this position includes, but is not limited to computer, fax, copier, merchant terminal, multi-line phone system, personal or company owned vehicle.
• Employees in this role are regularly required to climb, sit, stand, bend, kneel, and frequently lift up to 75 pounds and may be required to lift up to 100 pounds.
• This position may also require reaching, pushing, and pulling.
• This position may also be exposed to chemicals and/ or blood borne pathogens. Exposure risk is considered: Low
• Overtime is sometimes necessary or required.

Travel

• This position does not require out of area or overnight travel.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.