Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Developer Data Engineering
Conshohocken, Pennsylvania
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign, implement and test data lakehouse technology and data flows
Monitor data engineering processes and resolve issues proactively
Optimize data engineering for efficiency and lower latency
Manage small data engineering projects on time, in scope and on budget
Implement data security measures within engineering processes
From the employer’s posting
Play a hands-on role in projects in the design, implementation and testing of data lakehouse technology
Monitor the performance of data engineering processes and systems, identifying and resolving issues
Optimize data engineering to improve efficiency and reduce latency.
Manage small data engineering projects, ensuring they are delivered on time, within scope, and within budget.
Implement data security measures within the engineering processes to protect sensitive information
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
Quaker Houghton (US & CN) is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Databricks
- dbt
- Snowflake
Where the posting names them
Iceberg, git, DevOps) • Experience working in cloud native data engineering technologies (e.g. Snowflake, Databricks) • Experience in a senior management role, with exposure to senior leadership and accountable for
years of direct experience relating to creation and execution of modern warehouse architectures • 5+ years of hands-on experience across multiple data engineering technologies, (e.g. dbt, Snowflake, Iceberg, git, DevOps)
Your next step
Complete your application on careers.quakerhoughton.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Reporting to the Manager – Data Architecture & Engineering, the Senior Developer – Data Engineering at Quaker
Houghton will hands on in technology design, development, implementation and operational activities required to
support Quaker Houghton business operations and long-term strategy. This role will actively participate the company
wide effort to normalize, standardize and build operational processes for all data that is used in data analytics and
artificial intelligence within the Quaker Houghton technology landscape.
Bringing hands-on technical expertise in data lakes, modern data warehousing, and data lakehouse architectures, and
a deep understanding of data architecture and engineering this role will execute the data analytics strategy to ensure
that data is consistently and accurately processed, enabling seamless data flow through a data lakehouse architecture,
as well as the implementation of supporting technology, ensuring they have the required skills and knowledge to both
implement and support the selected tool/s, whilst maintaining and gracefully retiring the existing analytic solutions.
Working closely with the other Digital Information Technology teams, the role must ensure the robustness of the
solution, including redundancy, performance monitoring, data quality, compliance, security and completeness of the
data it handles. This role is critical in supporting the organization’s data-driven initiatives by ensuring that certified data
is available, reliable, and secure.
ACCOUNTABILITIES - List the primary job responsibilities and activities in order of importance.
• Actively participate in the full life cycle of data lakehouse technology solutions aligned with the overall business
and technology goals and objectives.
• Participate in the evaluation, implementation and administration of data lakehouse technology, systems,
processes, data flows, and dependencies per architectural and data governance standards; ensures data
integrity across the company systems.
Provides hands-on day-to-day support and monitoring of data engineering, tools and process
• Play a hands-on role in projects in the design, implementation and testing of data lakehouse technology
• Partner with applications and analytics teams to support agreed portfolio priorities and continue to develop and
enhance the integration technologies to evolving technology and business needs.
• Manage small data engineering projects, ensuring they are delivered on time, within scope, and within budget.
• Coordinate with cross-functional teams to ensure seamless integration and minimize disruptions to business
operations.
• Work closely with business stakeholders to understand their data needs and ensure that data engineering
efforts meet those needs.
• Monitor the performance of data engineering processes and systems, identifying and resolving issues
proactively.
• Optimize data engineering to improve efficiency and reduce latency.
• Implement data security measures within the engineering processes to protect sensitive information
continuously assessing and mitigating risks associated with data engineering activities.
• Document data engineering processes, including data flows, mappings, and transformation logic.
• Provide regular reports on the status, performance, and outcomes of data engineering initiatives to senior
management
WORK ENVIRONMENT / EHS RESPONSIBILITIES
• Sedentary category requiring exertion up to 10 lbs. of force occasionally and uses negligible amounts of force
to move objects. Sedentary work involves sitting most of the time.
• Occasional: Standing: Remaining on one's feet without moving.
• Frequent: Sitting: Remaining in seated position
• Frequent: Reaching below shoulders: Extending arms in any direction below shoulders.
• Continuous: Communication: Expressing or exchanging written/verbal/electronic information.
Continuous: Vision: Clarity of near vision at 20 inches or less and far vision at 20 feet or more with depth perception,
peripheral vision, color vision.
EDUCATION, EXPERIENCE AND SKILLS/COMPETENCIES to perform the job duties
Minimum of 8 years of data engineering or equivalent experience is preferred.
• 5+ years of direct work experience in large scale/enterprise technology projects, with at least five
years of direct experience relating to creation and execution of modern warehouse architectures
• 5+ years of hands-on experience across multiple data engineering technologies, (e.g. dbt, Snowflake,
Iceberg, git, DevOps)
• Experience working in cloud native data engineering technologies (e.g. Snowflake, Databricks)
• Experience in a senior management role, with exposure to senior leadership and accountable for
major initiatives within the corporation or for business clients.
• College degree required, preferably in MIS or other computer/information services discipline
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Conshohocken, Pennsylvania
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.