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Principal Data Engineer
Engineers and Constructors International, Inc. (ECI)United StatescontractVerifiedPosted 2 Mar 2026
About the role
Join the ECI Group's Professional Technical Services Network as a Principal Data Engineer. This is a Houston based a six-month contract role with an anticipated March 30, 2006 start date and ending on September 30, 2026.
NOTE: You must be a US Citizen or Permanent US resident to qualify for the position.
Roles and Responsibilities:
The Principal Data Engineer is the one who conceptualizes and designs data foundations and end to end solutions including data platforms for the Shell Business to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider business stakeholder community. A Principal Data Engineer is expected to be a subject matter expert, and an active thought partner in the organization's data strategy and the key driver to define the Vison and Data Strategy for robust and future ready IT solutions
Role Objective
This is not a standard data engineer role. We are looking for a deeply technical, hands-on individual contributor who can:
Current Platform & Architecture
Data Flow:
Key Challenges the Role Is Meant to Solve
1. Data Latency
Key Characteristics
NOTE: You must be a US Citizen or Permanent US resident to qualify for the position.
Roles and Responsibilities:
The Principal Data Engineer is the one who conceptualizes and designs data foundations and end to end solutions including data platforms for the Shell Business to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider business stakeholder community. A Principal Data Engineer is expected to be a subject matter expert, and an active thought partner in the organization's data strategy and the key driver to define the Vison and Data Strategy for robust and future ready IT solutions
Role Objective
This is not a standard data engineer role. We are looking for a deeply technical, hands-on individual contributor who can:
- Diagnose performance, latency, and cost issues in a large-scale cloud data platform
- Take a top-down, platform-level view across multiple projects
- Improve architecture, efficiency, and cost optimization, not just write Spark code
- Act as a technical problem-solver and mentor, guiding other data engineers
Current Platform & Architecture
Data Flow:
- On-premise systems → Cloud (Azure)
- Streaming ingestion → Azure Data Lake Storage (ADLS)
- Data processed into two separate containers:
- Crude trading
- Product trading
- Qlik Replicate (formerly Attunity)
- Streaming data from on-prem to Azure
- Azure Data Lake Storage (ADLS)
- Databricks
- Delta Live Tables (DLT)
- Spark / PySpark
- Python
- SQL (complex queries and procedures)
Key Challenges the Role Is Meant to Solve
1. Data Latency
- High-volume streaming data
- End-to-end latency issues that need root-cause analysis
- DLT costs are far higher than expected
- Known contributors:
- Very high data volume (expected)
- Inefficient lookup logic used to split data into separate containers
- The current solution works but is not optimal
Key Characteristics
- Hands-on technical delivery leader
- Visible community leader for data engineers
- Conducts quality, community & conference presentations/trainings
- Has vast array of technology skills with deep expertise in at least 2 core technologies (Azure, AWS, SAP)
- A skilled communicator capable of speaking to both technical developers and business managers.
- Able to drive change and improvement through a deep understanding of the inter-relationship between People, Process, Data and Technology
- Coordinate the change management process, incident management and problem management process.
- Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.
- Drives & contributes to community building initiatives like CoE, CoP.
- AWS/Azure/SAP – Master
- ELT – Master
- Data Modeling – Master
- Data Integra
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