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35 Incedo Big Data Engineer Jobs Hiring Near You

Incedo

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... related big data technologies • Familiarity with cloud-based infrastructure and deployment ...

Incedo

Lead Data Engineer

Austin, TX · On-site

$101K - $133K/yr

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... related big data technologies • Familiarity with cloud-based infrastructure and deployment ...

Incedo

Hadoop Developer

Wilson, NC

... a data engineer/solution architect designing and delivering large scale distributed software ... and big data technologies such as Cassandra, Hadoop, Hive, Prestodb, Impala, HBase, Spark, Storm ...

Incedo

Hadoop Developer

Wilson, NC · On-site

... a data engineer/solution architect designing and delivering large scale distributed software ... and big data technologies such as Cassandra, Hadoop, Hive, Prestodb, Impala, HBase, Spark, Storm ...

Incedo

Architect

Austin, TX · On-site

As a Senior Principle Engineer - Cloud Data Platform (Databricks) at Incedo, you will be ... You will be skilled in big data technologies such as Spark and have experience with cloud computing ...

Incedo Inc.

DATA Platform Architect

Pittsburgh, PA · Hybrid

$59.50 - $76.50/hr

Incedo delivers ROI from AI @ Scale through the "Power of 3": • Deep domain expertise • AI & Data capabilities • Engineering & Operations excellence Role Overview We are seeking a Data Platform ...

New

Incedo

Data Analyst

Austin, TX · On-site

... engineering and life science & healthcare industries. Working at Incedo will provide you an ... As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and ...

Incedo

Data Analyst

Austin, TX · On-site

... engineering and life science & healthcare industries. Working at Incedo will provide you an ... As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and ...

Incedo

Java Developer

Austin, TX · On-site

$50.50 - $65.50/hr

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... Our uniqueness lies in bringing together strong engineering, data science, and design capabilities ...

Incedo

Software Engineer

Austin, TX · On-site

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... Our uniqueness lies in bringing together strong engineering, data science, and design capabilities ...

Incedo

Java Developer

Austin, TX · On-site

$50.50 - $65.50/hr

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... As a Senior Software Engineer - Java Backend (Java BE) at Incedo, you will be responsible for ...

Incedo

Java Developer

Austin, TX · On-site

$50.50 - $65.50/hr

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... As a Senior Software Engineer - Java Backend (Java BE) at Incedo, you will be responsible for ...

Incedo

Software Architect

Austin, TX · On-site

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... Our uniqueness lies in bringing together strong engineering, data science, and design capabilities ...

Incedo

Java Developer

Austin, TX · On-site

$50.50 - $65.50/hr

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... As a Senior Software Engineer - Java Backend (Java BE) at Incedo, you will be responsible for ...

Incedo

Program Manager

Austin, TX · On-site

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... Our uniqueness lies in bringing together strong engineering, data science, and design capabilities ...

Incedo

Business System Analyst

Austin, TX · On-site

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... Our uniqueness lies in bringing together strong engineering, data science, and design capabilities ...

Incedo Inc

Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer Wealth Management Platform Employment Type: Full-Time About the Role We are seeking a skilled Data Engineer with a strong wealth management background to join our data and technology ...

Incedo

Lead Business Analyst

Austin, TX · On-site

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... Our uniqueness lies in bringing together strong engineering, data science, and design capabilities ...

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Infographic showing various Big Data Engineer job openings at Incedo in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Lead Data Engineer

Lead Data Engineer

Incedo

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 17 days ago

Job description

Company Overview
Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients
from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep
technology and domain experts, and global teams. Incedo University, our learning platform, provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager, a technical architect or a domain expert based on your
skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by
  • Harnessing the transformational impact of emerging technologies
  • Bridging the gap between business and technology

Role Description
About the Role
We are seeking a skilled Data Engineer with a strong wealth management background to join our data and technology team. This role sits at the intersection of financial data and modern cloud engineering - you will design, build, and maintain the data pipelines and infrastructure that power our advisor and client reporting, reconciliation processes, and platform integrations.
The ideal candidate brings hands-on experience with Databricks and the Microsoft cloud ecosystem, a deep understanding of wealth management data domains, and the ability to leverage AI tooling to accelerate their daily work.
Key Responsibilities
Data Pipeline Development & Engineering
  • Design, build, and maintain scalable data pipelines using Databricks and Azure cloud services
  • Develop and optimize PySpark and Python-based ETL/ELT workflows for ingesting, transforming, and serving wealth management data
  • Build and manage data models that support advisor, account, client, position, transaction, and security datasets
  • Ensure data pipelines meet performance, reliability, and latency requirements for downstream consumers

Financial Data & Reconciliation
  • Reconcile financial datasets across custodians, internal systems, and third-party data providers - identifying and resolving breaks at the position, transaction, and account level
  • Partner with operations and service teams to investigate and resolve data discrepancies impacting advisors and clients
  • Implement data quality checks, validation rules, and alerting to proactively catch data integrity issues
  • Support the build-out of reconciliation frameworks that scale across growing data volumes and entity counts

Cloud Infrastructure & Platform
  • Build and manage data infrastructure on Microsoft Azure, including Azure Data Factory, Azure Data Lake, and related services
  • Contribute to the architecture and governance of the data lakehouse environment within Databricks (Delta Lake, Unity Catalog)
  • Collaborate with platform and DevOps teams on CI/CD pipelines, environment management, and data infrastructure as code

AI-Augmented Engineering
  • Actively leverage AI coding assistants and automation tools (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate development, code review, and documentation
  • Identify opportunities to apply AI/ML techniques to financial data problems such as anomaly detection, break prediction, or data classification
  • Stay current on emerging AI tooling and bring practical recommendations to the team

Technical Skills
Skills Requirements:
• Expertise in Azure services and tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
• Experience in building scalable and reliable data pipelines using Azure services, Apache Spark, and related big data technologies
• Familiarity with cloud-based infrastructure and deployment, specifically on Azure
• Strong knowledge of programming languages such as Python, C#, and SQL
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Should be open to new ideas and be willing to learn and develop new skills.
• Should also be able to work well under pressure and manage multiple tasks and priorities.
  • Financial Data Fluency - You speak the language of wealth management data and understand what positions, transactions, and reconciliation breaks mean to the business
  • Engineering Rigor - You write clean, testable, well-documented code and care about the reliability of what you build
  • AI-Forward Mindset - You actively incorporate AI tools into your workflow and treat them as force multipliers, not novelties
  • Cross-Functional Collaboration - You can work effectively with operations, service, and product teams to understand data needs and translate them into engineering solutions
  • Problem Ownership - You don't just find issues in data; you see them through to resolution and build guardrails to prevent recurrence

Nice-to-have skills
Qualifications
  • 5-8 years of experience in data engineering, with direct exposure to wealth management data domains
  • Databricks Certified (Associate or Professional) or demonstrated deep, hands-on Databricks expertise in a production environment
  • Proficiency in Python and PySpark for building and optimizing large-scale data pipelines
  • Hands-on experience with Microsoft Azure cloud services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse, or equivalent)
  • Direct experience working with wealth management data including positions, transactions, accounts, clients, advisors, and security master data
  • Experience reconciling financial datasets across custodians, platforms, or internal systems
  • Strong understanding of data modeling, ETL/ELT patterns, and data warehouse or lakehouse architecture
  • Demonstrated use of AI tools in day-to-day engineering work - this is not optional; we expect engineers to be actively leveraging AI to move faster and work smarter

Company Value
We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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