About Our Client
Our client is a fast-growing, venture-backed software company building a modern operating system for communications service providers — a single platform managing billing, operations, and automation. The company is fully remote across the US and Canada and operates with a transparent salary philosophy, with compensation published internally under a structured evaluation framework.
About the Role
When a new customer joins the platform, their data has to come with them — out of legacy systems and into the client's product, accurately, completely, and on schedule. This role owns the technical execution of that work.
As a Data Migration Engineer on the client's migration delivery team, the role will own customer migrations end-to-end from the technical side: exploring legacy source systems, exporting data, transforming it into the platform's standard format, and driving it to a validated, production-ready state. The engineer works from business context and mapping rules defined by a customer-facing migration counterpart, and works daily in the company's internal migration tooling — improving it directly where possible and specifying larger needs for the platform engineering team to build.
This is a hands-on role for someone who enjoys turning messy, real-world data into something clean, repeatable, and trusted — and who is equally comfortable leading technical conversations directly with customers. The team is expanding significantly, so this hire will help shape how migrations are run going forward.
Key Responsibilities
- • Explore legacy source systems — databases, flat files, reports, APIs — to understand their structure, quality, and relationships in the context of the target data model.
- • Export source data across a range of access methods, including SQL, APIs, manual extracts, and database backups.
- • Transform exported data into the platform's standard format by authoring declarative, version-controlled mapping files that encode agreed business rules.
- • Execute migrations end-to-end on the internal migration platform: load, validate against target schemas, reconcile, and import to production.
- • Build and reuse mappings, templates, and validation rules so each migration is faster and more repeatable than the last.
- • Contribute engineering improvements to the migration tooling — validation rules, transforms, mapping updates — and raise larger needs to the platform engineering team.
- • Diagnose and resolve data discrepancies during dry runs, UAT, and post-cutover.
- • Document mapping specs, transformation logic, and data anomalies so migrations are auditable and repeatable.
What Success Looks Like
- • Source data lands in the platform accurately, completely, and on schedule — with discrepancies caught before go-live.
- • Transformation and validation work is reusable, so later migrations build on prior templates and rules.
- • Data issues are diagnosed and resolved quickly, keeping migrations on track.
- • Tooling gaps are either fixed directly or clearly specified for the platform engineering team.
- • Delivered data is trusted — accurate and well-documented enough to present to customers with confidence.
What the Right Person Brings
- • 3–5+ years in data engineering, data migration, ETL, or a similar hands-on data role.
- • Strong SQL and ETL fundamentals — treating extract → transform → load as a deliberate methodology: staging, repeatable and idempotent loads, full vs. incremental loads, and validation and reconciliation at every stage.
- • Hands-on data-manipulation fluency across SQL, Python, JSON, or similar — querying, profiling, reshaping data, and debugging unfamiliar source schemas.
- • Experience extracting data from varied sources: relational databases, APIs, flat files, and backups.
- • AWS experience — particularly Athena — and depth in SQL-based systems.
- • A background in high-volume, structured, or legacy data environments — for example banking, legal software, payroll, large CRMs, or enterprise SaaS with financial modules.
- • A proven ability to transform messy, poorly documented data into clean, structured output, with a solid grasp of data quality, validation, reconciliation, and cleansing.
- • Client-facing communication skills — comfortable leading technical conversations directly with customers.
- • Comfort in fast-paced, ambiguous environments with shifting source systems, and a bias toward reusability and automation over one-off scripts.
- • A Bachelor's degree in Computer Science, Information Systems, Data or Software Engineering, or a related field — or equivalent work experience.
Nice to Have
- • Familiarity with TypeScript/JavaScript (Node).
- • Familiarity with OSS/BSS, telecom, or billing/CRM data models (subscribers, services, billing accounts) — or a demonstrated ability to ramp quickly on unfamiliar domain models.
- • Comfort using AI-assisted tooling to accelerate data exploration, mapping, and validation.
- • Experience building or extending an internal data platform or migration tooling.
- • Exposure to cutover and go-live operations: delta loads, reconciliation, rollback.
- • Experience collaborating with a separate platform or product engineering team.
Compensation & Benefits
- Our client offers competitive compensation aligned with experience and geography, under a transparent internal salary framework, along with:
- • A flexible 25-day vacation policy and flexible working hours.
- • Stock options.
- • Group insurance and telemedicine.
- • A life spending account and retirement savings plan.
- • 100% remote work, company-wide.
Equal Opportunity
Our client is an equal-opportunity employer. Accommodations are available on request throughout the hiring process. To learn more about this opportunity, please contact Accelerate HC.
