Data Engineering, Analytics and BI Recruiters
No postings. No stacks of resumes. No chasing. You interview a short list.
No upfront fee. You pay only if you hire.
Need someone now? Call 305-306-4829.
This is what we do all day: recruit technology and IT professionals.
Find working specialists across Data Engineering, Analytics and BI, qualified for the scope you need.
No upfront fee. You pay only if you hire.
No upfront fee. You pay only if you hire. We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement.
What happens next
- Do I pay upfront?
- No upfront fee. You pay only if you hire.
- Must I give you exclusivity?
- We do not promise or require exclusivity here. Any terms are in the recruiting agreement we refer you to.
- Will you reveal my company?
- Not without your explicit consent before we disclose anything.
- What if I do not hire?
- No hire, no fee.
- No upfront fee
- Pay only if you hire
- Technology only
- We reach engineers who aren't on job boards
- Replacement guarantee on standard searches
Need someone now? Call 305-306-4829.
Every title we cover
- Data Engineer
- Senior Data Engineer
- Analytics Engineer
- Data Platform Engineer
- Streaming Data Engineer (Kafka / Flink)
- Big Data Engineer (Spark)
- Data Architect
- Data Warehouse Engineer
- ETL / ELT Developer
- Database Administrator
- Database Engineer
- BI Developer
- BI Analyst
- Data Analyst
- Product Analyst
- Data Governance Manager
- Director of Data Engineering
- Chief Data Officer / VP of Data
- Reporting Analyst
- Junior Data Analyst
- Database Analyst
- Data Quality Analyst / Data Steward
- Data Migration / Conversion Specialist
- GIS Analyst / GIS Technician
- Senior Data Analyst
- Lead Data Engineer
- Data Engineering Manager
- Remote Data Engineer
- Snowflake Data Engineer
- Databricks Data Engineer
- AWS Data Engineer
- Power BI Data Analyst
- Tableau Data Analyst
- SQL Data Analyst
- Health Systems Data Analyst
The data market is central to modern business intelligence, requiring specialized engineers who transform raw signals into actionable insights. We connect organizations with experts in building reliable pipelines, governing data assets, and visualizing complex performance metrics. Our focus includes the entire data lifecycle, from ingestion and streaming architecture to the delivery of clean, accessible datasets for decision-makers across the enterprise.
Data teams often face unique challenges in balancing real-time data accessibility with stringent governance and cost controls. We identify professionals who excel at managing the intersection of high-scale cloud infrastructure and nuanced business analysis. By focusing on both backend data architecture and front-end intelligence presentation, we ensure that our placements provide value across the entire data engineering and analytics spectrum.
What we screen for
Data Pipeline Engineering
We evaluate proficiency in constructing reliable ETL and ELT pipelines using modern orchestration tools. Candidates must demonstrate deep experience with batch and streaming data processing, ensuring data quality and lineage remain intact. We screen for those who understand how to optimize throughput and handle late-arriving data, identifying experts who build resilient systems that support the demands of high-volume, real-time data environments.
Cloud Data Warehousing
This check verifies expertise in architecting and maintaining cloud-native data warehouses like Snowflake, BigQuery, or Redshift. We look for experience in cost-effective resource management, schema design, and query optimization. Red flags include poor understanding of indexing strategies or lack of experience with partitioning, which are essential for scaling performance and controlling infrastructure costs in modern, massive-scale data analytics environments.
Streaming Architecture Mastery
We assess technical depth in Kafka, Flink, or Spark for real-time analytics. Engineers must demonstrate how they handle stateful computations, windowing, and watermarking in complex streaming topologies. We look for candidates who have built fault-tolerant streaming systems, filtering out those who lack hands-on experience with the trade-offs between processing latency and system consistency in event-driven architectures at massive scale.
BI and Visualization Depth
We identify analysts and developers who transform metrics into intuitive, impactful dashboards using tools like Looker or Tableau. This involves assessing their ability to model data appropriately for visualization and translate complex business questions into clear, actionable reports. We look for evidence of high user engagement and the ability to maintain consistency across large-scale data models and organizational reporting interfaces.
Data Governance and Security
Our screening focuses on policies for data classification, PII protection, and access management. We evaluate candidate experience with auditing, compliance, and cataloging to ensure data security. We distinguish between those who treat data as a technical commodity and those who implement strict governance frameworks that protect information assets, maintain data integrity, and ensure consistency throughout the enterprise data platform environment.
Database Engine Proficiency
We assess deep expertise in relational and non-relational database internals. Candidates must demonstrate mastery of query tuning, storage engine configuration, and replication strategies for performance scaling. We screen for those who understand the physical implementation details of database systems, identifying candidates with a proven track record of maintaining high availability and consistent data access speeds in write-heavy, high-demand production database clusters.
Related skills and ecosystems we cover
- Snowflake
- Databricks
- Spark
- Kafka
- dbt
- Airflow
- BigQuery
- Power BI
- Tableau
- PyTorch
- LLM stack (model APIs, LangChain / LlamaIndex, vector databases)
Where we find them
Our sourcing reaches into specialized data infrastructure teams, internal analytics units of high-growth retailers, and dedicated data consultancies. We find specialists by engaging with contributors to the open-source projects powering the modern data stack. We monitor technical forums where engineers discuss the nuances of database replication, complex pipeline design, and the evolving market of real-time data storage and processing technologies.
We also recruit from organizations that handle significant data volume and variety, where engineers are regularly challenged by schema evolution and performance optimization. By identifying those who build the underlying platform tools that others rely on, we secure access to individuals who understand the operational realities of data systems and can apply that knowledge to solve our partners' most difficult problems.
Dedicated pages in this family
- Data Engineer
- Analytics Engineer
- Data Architect
- BI Developer
- Database Administrator
- Chief Data Officer / Head of Data
- Reporting Analyst
- Junior Data Analyst
- Database Analyst
- GIS Analyst
- Senior Data Engineer
- Data Platform Engineer
- Streaming Data Engineer (Kafka / Flink)
- Big Data Engineer (Spark)
- Data Warehouse Engineer
- ETL / ELT Developer
- Database Engineer
- BI Analyst
- Data Analyst
- Product Analyst
- Data Governance Manager
- Director of Data Engineering
- Data Quality Analyst / Data Steward
- Data Migration / Conversion Specialist
- Senior Data Analyst
- Lead Data Engineer
- Data Engineering Manager
- Remote Data Engineer
- Snowflake Data Engineer
- Databricks Data Engineer
- AWS Data Engineer
- Power BI Data Analyst
- Tableau Data Analyst
- SQL Data Analyst
- Health Systems Data Analyst
How a Data Engineering, Analytics and BI search runs
The technical process begins by examining how candidates approach the design of a data platform from scratch. We focus on their choice of technology and how they account for scalability, future-proofing, and developer efficiency. We expect detailed reasoning on why certain patterns were chosen, reflecting a deep understanding of the trade-offs between simplicity, maintainability, and total cost of ownership.
We complete the process with discussions regarding how candidates enable end-users through data accessibility and education. We look for insights into how they balance the need for fast data delivery with the strict requirements of governance. This ensures that every hire not only possesses the required technical skill but also aligns with the cultural expectations for long-term data sustainability.
What happens next
What happens next
- Do I pay upfront?
- No upfront fee. You pay only if you hire.
- Must I give you exclusivity?
- We do not promise or require exclusivity here. Any terms are in the recruiting agreement we refer you to.
- Will you reveal my company?
- Not without your explicit consent before we disclose anything.
- What if I do not hire?
- No hire, no fee.
Questions about this search
When will we see a shortlist?
We agree the search plan after checking your requirements for data pipeline engineering and cloud data warehousing, rather than promising a date before the brief is clear. We evaluate proficiency in constructing reliable ETL and ELT pipelines using modern orchestration tools.
What if a candidate gets a counteroffer?
We ask what would make someone leave work involving data pipeline engineering, and what could make them stay. Before you invest in interviews, we discuss whether your offer changes the problem they want to leave, including the responsibility for database engine proficiency.
Should this role be remote or on site?
Experience with data pipeline engineering and cloud data warehousing does not settle the location question. Tell us what access and supervision the work needs, including who owns decisions about database engine proficiency, so we approach people who can accept the arrangement.
How will you check fit before we interview?
We evaluate proficiency in constructing reliable ETL and ELT pipelines using modern orchestration tools. Candidates must demonstrate deep experience with batch and streaming data processing, ensuring data quality and lineage remain intact. This check verifies expertise in architecting and maintaining cloud-native data warehouses like Snowflake, BigQuery, or Redshift.
How does the fee work?
No upfront fee. You pay only if you hire. Agree the fee and the responsibilities covering data pipeline engineering and cloud data warehousing in the recruiting agreement before the search proceeds.
What if the hire does not work out?
We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement. Make sure the agreed scope includes what you expect of database engine proficiency, rather than leaving that discussion until after the start.
No upfront fee. You pay only if you hire. We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement.
What happens next
- Do I pay upfront?
- No upfront fee. You pay only if you hire.
- Must I give you exclusivity?
- We do not promise or require exclusivity here. Any terms are in the recruiting agreement we refer you to.
- Will you reveal my company?
- Not without your explicit consent before we disclose anything.
- What if I do not hire?
- No hire, no fee.
Related roles and stacks
How a search runs
The Six-Step Search
- 1Search Calibration
A call about the work. You get a written search profile.
- 2Market Mapping
We identify the employer backgrounds that fit. You see where we will look.
- 3Professional Contact Intelligence
We identify individual people, not job board applicants.
- 4Persistent Personalized Outreach
Personal outreach and direct follow-through. You get search updates.
- 5Live Candidate Qualification
A recruiter checks stack, scope and motivation in conversation.
- 6Candidate Intelligence and Process Support
You receive a written brief on every person you meet.
Working with Technology Headhunters
What don't you do in a permanent search?
We do not bill by the hour for permanent search or charge a retainer unless one is agreed. We do not treat reposting your job advertisement as headhunting.