Forward Deployed Engineer

Bechtel Corporation; Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Robust benefits for career advancement

Job summary

Bechtel Corporation is seeking a Forward Deployed Engineer (FDE) in Gurugram District, India. In this role, you will work closely with operational teams to design and implement data engineering solutions that enhance efficiency and reliability.

The position requires a Bachelor's degree in a relevant field and substantial experience in software and data engineering. Join a dynamic environment where you will drive results and collaborate across various sectors.

Qualifications

• 5–8 years of relevant experience or 9–12 years of relevant work experience.
• Experience building streaming and near-real-time data solutions.
• Strong coding ability in Python and SQL.

Responsibilities

• Embed with business teams to identify operational pain points.
• Design and build scalable batch and streaming pipelines.
• Implement real-time/event-driven architectures using streaming tools.

Skills

Software engineering

Data engineering

Platform engineering

Python programming

SQL

Apache Spark

Cloud data ecosystems

Education

Bachelor’s degree in CS/Engineering/STEM

Tools

Palantir Foundry

Databricks

Airflow

Snowflake

Job description

Requisition ID: 292588

• Relocation Authorized: None
• Telework Type: Part-Time Telework
• Work Location: Gurugram

Job Summary

As a Forward Deployed Engineer (FDE), you will operate at the intersection of advanced data engineering and real‑world business execution—embedding with operational teams to uncover gaps, translate ambiguous needs into clear technical plans, and deliver production‑grade solutions that measurably improve throughput, reliability, and efficiency. You will be on the front lines with stakeholders in operations, supply chain, finance, customer success, or project delivery—working side‑by‑side to understand how work happens, why bottlenecks occur, and what decisions need better data and automation.

The role requires designing and implementing end‑to‑end data products that connect disparate systems into governed, trusted datasets and real‑time event streams, building scalable pipelines, applying engineering practices, and potentially layering decision support and intelligent workflows.

Major Responsibilities

• Embed with business teams to identify operational pain points, define success metrics, and prioritize use cases.
• Design and build scalable batch and streaming pipelines (ingestion → transformation → modeling → serving).
• Implement real‑time/event‑driven architectures using streaming tools with SLAs.
• Create strong data models/semantic layers representing core business entities and workflows.
• Deliver operational applications and decision workflows that drive action.
• Ensure reliability and governance: testing, lineage, access controls, data quality checks, monitoring, and incident response.
• Collaborate with security, compliance, IT to meet enterprise requirements for privacy, auditability, and controls.
• Document solutions and enable users/engineers through playbooks, training, and repeatable patterns.

Education and Experience Requirements

• Bachelor’s degree in CS/Engineering/STEM (or equivalent practical experience) and 5–8 years of relevant experience.
• or 9–12 years of relevant work experience.

Required Knowledge and Skills

• Experience in software engineering, data engineering, or platform engineering delivering production systems.
• Strong coding ability in Python and SQL; experience with Spark/PySpark or equivalent distributed processing.
• Proven experience building streaming and near‑real‑time data solutions.
• Experience integrating data from APIs, databases, files, and operational systems; handling messy/heterogeneous data.
• Solid understanding of data modeling, schema evolution, incremental processing, and performance optimization.
• Experience with cloud data ecosystems (Azure, AWS, GCP) and modern storage/compute patterns.
• Strong engineering discipline: version control, testing, CI/CD, observability/monitoring, and production support.
• Experience delivering solutions on Palantir Foundry or similar enterprise data platforms.
• Familiarity with Foundry Ontology and operational application patterns and willingness to ramp quickly in Foundry.

Preferred Qualifications

• Experience with Palantir Foundry, Databricks, Snowflake, or comparable enterprise data platforms.
• Experience with orchestration tools (Airflow, ADF, Prefect) and data quality frameworks.
• Exposure to AI‑enabled operational workflows in governed settings.
• Prior customer‑facing/embedded role and willingness to travel.

Benefits

Bechtel offers robust benefits to support career advancement, program delivery, and personal recharge.

Equal Opportunity Employer

Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e‑mail their request to [e-mail].