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2027 Summer Intern - Systems Engineer - Instrument Development
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Insight Global

Data Lakehouse Integration Engineer

Fort Lauderdale, FL, United States

$70 USD / hour

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Job details

Pay: $70 USD / hour
Posting language: English
Posted: Oct 1, 2026

Original job description

Job Description

We are seeking an experienced data integration engineer to provide temporary coverage for a key member of the Data Lakehouse team during an extended leave period.

The primary responsibility of this role is to onboard enterprise data sources into our Databricks Lakehouse environment and drive those integrations from discovery through production readiness.

This is not purely a pipeline-development role. The engineer will work across application teams, data engineering, infrastructure, networking, security, and governance to identify dependencies, resolve blockers, and ensure that new data sources can be reliably and securely integrated into the Lakehouse.

What You’ll Do Own Data Source Onboarding

Drive new data-source integrations from initial discovery through operational ingestion.

Responsibilities include:

Understand the source system, available interfaces, data structures, volumes, and update patterns
Work with application owners and SMEs to determine which data should be ingested
Define appropriate ingestion and historical backfill approaches
Validate ingestion completeness, reliability, and operational readiness
Troubleshoot issues across the full path from source system to Lakehouse Our current environment includes a mix of databases, SaaS applications, APIs, object storage, file transfers, and event-streaming platforms.

Coordinate Infrastructure and Security Dependencies Many integrations require work outside Databricks. You will help drive those dependencies rather than treating them as external blockers.

Examples include:

Network connectivity and firewall changes
Cloud IAM and service-account configuration
Security and governance reviews You should be comfortable working directly with networking, infrastructure, cloud, security, and application teams to diagnose issues and move integrations forward.

Work Within the Databricks Lakehouse Platform

Support ingestion and governance within our Databricks environment, including:

Data ingestion pipelines and workflows
Catalog and schema organization
Access controls and permissions
Connector configuration
Operational troubleshooting Our environment uses Databricks and AWS extensively, but we care more about strong platform and data-engineering fundamentals than experience with every specific feature we use.

Lead Technical Discovery Work with SMEs and source-system owners to translate business requests into implementable ingestion requirements.

You will help determine:

What data is required
Where it resides
How it can be accessed
How frequently it changes
What historical data is required
What security or governance constraints apply
What dependencies must be resolved before implementation Drive Work Across Teams This role requires strong technical ownership.

You will:

Facilitate technical working sessions
Maintain clear ownership of open dependencies
Track onboarding progress
Escalate blockers early
Communicate status clearly
Coordinate with internal teams, vendors, and application owners
Carry integrations through completion rather than handing off unresolved dependencies

PR: $70/hr.

Skills and Requirements

What We’re Looking For We are looking for someone with strong experience building and operating enterprise data integrations.

You should be comfortable with most of the following:

Designing reliable data-ingestion architectures
Working with modern cloud data platforms
Integrating heterogeneous enterprise systems
Batch, streaming, CDC, API, file, and database ingestion patterns
Cloud identity, permissions, networking, and security concepts
Data governance and access-control concepts
Troubleshooting distributed systems across organizational boundaries
Working independently with application owners and infrastructure teams
Turning ambiguous integration requests into concrete technical plans Experience with Databricks and AWS is strongly preferred because those are core parts of our current environment.

Experience with technologies such as Kafka, object storage, SaaS platforms, enterprise databases, SFTP, REST APIs, or similar integration mechanisms is useful, but we do not expect candidates to have worked with every system in our environment.

What Success Looks Like

A successful person in this role can take a request such as:

“We need this enterprise system available in the Lakehouse.” …and independently determine what needs to happen across the source application, connectivity, authentication, security, ingestion architecture, Databricks configuration, historical loading, validation, and production operations.

The goal is not simply to write pipelines. The goal is to make data-source onboarding happen end to end.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.

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More about this job

Skills

Databricks
Data engineering
Onboarding
Troubleshoot
Identity and access management
Microsoft Access
Troubleshooting
AWS
Work independently
Blueprints
Apache Kafka
API development

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