Elixir/Phoenix Backend Engineer - Remote

Bluelight Consulting, Llc; Santa Fe Capital; Remote; ARS 45,437,000 - 90,873,000; Full time

Benefits offered by this job

Remote role

Competitive compensation

High-visibility team

Ownership over reporting infra

Impact on education/nonprofit partners

Job summary

Prometeo Talent is partnering with a US-based cybersecurity startup and a fast-growing education/ nonprofit marketing client. We are seeking a Senior Data Engineer (Marketing-oriented) who will own data ingestion, CRM integration, and the data warehouse to support automated reporting and dashboards.

You will design modular, scalable pipelines (dbt/Dataform), ensure data quality, and enable Looker Studio dashboards and Google Sheets reports for partners.

Qualifications

• 5+ years hands-on data engineering in a marketing/agency setting.
• Strong SQL and BigQuery experience for transformation and modeling.
• Experience with ETL/ELT platforms like Adverity or comparable tools.
• Proficient in dbt or Dataform and modular SQL pipelines.
• CRM data flows (Slate, Salesforce, HubSpot) and data integrations.

Responsibilities

• Own data ingestion and pipeline architecture across paid media and CRM sources.
• Build/maintain reliable CRM connections feeding the warehouse.
• Own the data warehouse in BigQuery with efficient schemas and partitioning.
• Design and map multi-channel data in dbt/Dataform pipelines.
• Maintain CI/CD and data segregation for multi-client environments.
• Enable fast Looker Studio dashboards and automated reports.
• Monitor data quality and resolve discrepancies across layers.

Skills

Data engineering

SQL

BigQuery

Python

dbt/Dataform

API integration

CRM data

Looker Studio

Git

Data quality

Tools

Adverity

Fivetran

Supermetrics

Funnel

Slate

Salesforce

HubSpot

dbt

Dataform

Job description

Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education

Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.

Company Overview:

Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.

Your Role:

The Senior Data Engineer sits at the center of the agency's Data and Analytics function, connecting every paid media platform and CRM the agency touches into a single, reliable source of truth. You'll own the full path data takes: from a client's ad accounts and CRM, through Adverity, into a BigQuery warehouse, through modular dbt/Dataform transformations, and out to the Looker Studio dashboards and automated Google Sheets reports the team and its partners rely on daily. Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the automated reporting suite that makes that growth possible without sacrificing data quality or client trust.

You'll:

• Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms (Meta, Google Ads, LinkedIn, TikTok, programmatic) into Adverity, build custom Python connectors for anything not natively supported, and architect scalable pipelines from source system through to dashboard

• Own CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouse

• Own the data warehouse — route, optimize, and store raw and processed data in Google BigQuery; design efficient schemas for complex, multi-source marketing data (granularity, normalization, slowly changing dimensions); manage partitioning, clustering, and storage strategy to control query cost and performance

• Own transformation & mapping — build SQL schemas that map, blend, and organize multi-channel data accurately for each client, in modular, version-controlled, documented dbt or Dataform pipelines, with standardized naming conventions and metric definitions across platforms and clients

• Own CI/CD & data segregation — maintain CI/CD pipelines (GitHub Actions, automated testing) for robust, version-controlled releases, and enforce strict data segregation across multi-client environments

• Enable the reporting layer — create clean, performant data views built specifically for fast Looker Studio dashboards and automated Google Sheets reports, and partner with the Data and Analytics Manager and client teams to translate reporting requirements into warehouse models

• Drive data quality — monitor pipeline health, resolve API breaks, minimize latency, implement validation frameworks and automated testing, troubleshoot discrepancies to root cause across source/warehouse/BI layers, and proactively flag data quality risks to leadership

You Bring:

• 5+ years of hands-on data engineering experience, ideally in a marketing or agency environment

• Strong experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform (Fivetran, Supermetrics, Funnel)

• Intermediate to advanced SQL, with proven BigQuery experience in transformation, partitioning, and modeling

• Expertise in dbt or Dataform, managing modular, version-controlled, documented SQL transformation pipelines

• Python proficiency for custom API connections and pipeline automation

• Experience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot)

• A deep understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, with a proven track record of structuring data to optimize Looker Studio performance

• Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation

• An analytical, solution-driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non-technical audiences — education marketing experience (traditional or online) is especially valued

Bonus Points:

• Experience integrating AI-driven insights or machine learning models into marketing data pipelines to sharpen predictive analytics and data utility

• Familiarity using AI or LLM tools to optimize performance forecasting, automated audience segmentation, or marketing workflows

• Experience connecting, managing, and maintaining APIs for generative AI platforms within a marketing data architecture

• Experience using AI/ML-driven anomaly detection to monitor pipelines and proactively flag data quality issues

What’s Offered:

• Remote role with the flexibility that comes with a distributed, async-friendly team

• Competitive compensation based on experience and location

• A pivotal, high-visibility seat on a scaling Data & Analytics team, with real ownership over the agency's reporting infrastructure

• The chance to build the data backbone for an agency whose partners are education and nonprofit organizations working to build a better world

• A culture built around finding a better way, playing as a team of A-players, and treating results as the engine rather than the goal

• Direct impact: the pipelines and models you build directly shape how partners see (and trust) their own performance data

Interview Process:

• Application Review (resume + a few questions)

• Screening Call with Atomic HR

• Hiring Team Interview (walkthrough of a pipeline or data model you've built)

• Technical Assessment (a real-world data engineering case study)

• Final Interview with company leadership

At Prometeo Talent, we connect top-tier tech and engineering professionals with companies that are shaping the future. With a strong presence across America and Europe, we’re proud to be one of the highest-rated recruitment agencies in the market.

We're currently partnering with a fast-growing US-based cybersecurity startup. The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology. As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.

About us

At Prometeo Talent, we connect top-tier tech and engineering professionals with companies that are shaping the future. With a strong presence across America and Europe, we’re proud to be one of the highest-rated recruitment agencies in the market.

We're currently partnering with a fast-growing US-based cybersecurity startup. The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology. As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.

The Opportunity

We are looking for a Senior Backend Engineer who thrives in startup environments and enjoys building scalable systems from the ground up.

This role is ideal for engineers who combine deep backend expertise with a strong ownership mindset. You will play a key role in designing, building, and maintaining distributed systems while collaborating with a highly technical and fast-moving team.

The ideal candidate has extensive experience with Java and Python, enjoys solving complex engineering problems, and embraces AI-assisted development workflows to increase productivity without compromising quality.

Responsibilities

• Design, build, and maintain scalable backend services using Java and Python.

• Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.

• Take full ownership of features and services throughout their lifecycle, from design and implementation to monitoring and optimization.

• Build production-ready systems with a strong focus on reliability, performance, and maintainability.

• Collaborate closely with product and engineering teams to translate business requirements into technical solutions.

• Improve system performance, scalability, and operational efficiency across the platform.

• Leverage AI-assisted development tools to accelerate delivery while ensuring code quality and engineering best practices.

• Participate in architectural discussions and contribute to key technical decisions as the company scales.

• Continuously improve development processes, tooling, and engineering standards.

Requirements

• 8+ years of experience in software engineering or backend development.

• 5+ professional experience with Python, building and maintaining production-grade backend systems.

• Strong experience with Java.

• Hands‑on experience with AI/LLM-based application development (AI agents, agentic systems, or LLM-powered applications)

• Experience building AI-driven features, LLM integrations, or agentic workflows in production environments is highly preferred.

• Solid understanding of distributed systems, scalable architectures, and asynchronous processing.

• Experience working with databases, message queues, and data processing pipelines.

• Hands‑on experience with Docker and Kubernetes in production environments.

• Proven experience building, maintaining, optimizing, and improving products after launch.

• Strong ownership mindset, autonomy, and ability to thrive in startup or fast-paced environments.

• Advanced English level

Nice to have

• Experience working in product-focused companies, owning products beyond the initial development phase.

• Experience in cybersecurity products or security-focused platforms.

• Experience with Kafka, RabbitMQ, or similar messaging systems.

• Experience building large-scale distributed data processing systems.

• Background in high-growth startups or scale-ups.

• Previous experience in large technology companies

What’s in it for You

100% remote work with flexibility to work from LATAM.

Join an early-stage cybersecurity startup where your work will directly impact the product and company growth.

Company-provided laptop and equipment.

Generous PTO and regional holidays.

High ownership, autonomy, and direct influence on technical decisions.